Attrition Case Study
Jae Chung
2023-04-12
#Link to video presentation: https://youtu.be/HbXR6Fg7o4U
#Loaded in every library needed for this analysis
library(ggplot2)
library(stringi)
library(readxl)
library(XML)
library(rvest)
library(naniar)
library(e1071)
library(caret)## Loading required package: latticelibrary(class)
library(tidyverse)## -- Attaching packages --------------------------------------- tidyverse 1.3.2
## --## v tibble 3.1.8 v dplyr 1.0.10
## v tidyr 1.2.1 v stringr 1.5.0
## v readr 2.1.3 v forcats 0.5.2
## v purrr 1.0.1
## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x readr::guess_encoding() masks rvest::guess_encoding()
## x dplyr::lag() masks stats::lag()
## x purrr::lift() masks caret::lift()library(GGally)## Registered S3 method overwritten by 'GGally':
## method from
## +.gg ggplot2library(stringr)
library(dplyr)
library(tidyr)
library(knitr)
library(rmarkdown)
library(psych)## Warning: package 'psych' was built under R version 4.2.3##
## Attaching package: 'psych'
##
## The following objects are masked from 'package:ggplot2':
##
## %+%, alphalibrary(Metrics)## Warning: package 'Metrics' was built under R version 4.2.3##
## Attaching package: 'Metrics'
##
## The following objects are masked from 'package:caret':
##
## precision, recalllibrary(plotly)##
## Attaching package: 'plotly'
##
## The following object is masked from 'package:ggplot2':
##
## last_plot
##
## The following object is masked from 'package:stats':
##
## filter
##
## The following object is masked from 'package:graphics':
##
## layout#Imported CaseStudy2-data.csv file
#Reading in employee data
employee = read.csv(file.choose(), header = TRUE)
employee## ID Age Attrition BusinessTravel DailyRate Department
## 1 1 32 No Travel_Rarely 117 Sales
## 2 2 40 No Travel_Rarely 1308 Research & Development
## 3 3 35 No Travel_Frequently 200 Research & Development
## 4 4 32 No Travel_Rarely 801 Sales
## 5 5 24 No Travel_Frequently 567 Research & Development
## 6 6 27 No Travel_Frequently 294 Research & Development
## 7 7 41 No Travel_Rarely 1283 Research & Development
## 8 8 37 No Travel_Rarely 309 Sales
## 9 9 34 No Travel_Rarely 1333 Sales
## 10 10 34 No Travel_Frequently 653 Research & Development
## 11 11 43 No Travel_Rarely 823 Research & Development
## 12 12 28 No Non-Travel 280 Human Resources
## 13 13 35 No Travel_Rarely 950 Research & Development
## 14 14 30 No Travel_Rarely 202 Sales
## 15 15 46 No Travel_Rarely 991 Human Resources
## 16 16 31 No Non-Travel 1188 Sales
## 17 17 32 No Travel_Rarely 498 Research & Development
## 18 18 46 No Non-Travel 1144 Research & Development
## 19 19 34 No Travel_Rarely 181 Research & Development
## 20 20 44 No Travel_Rarely 170 Research & Development
## 21 21 36 No Travel_Rarely 913 Research & Development
## 22 22 48 No Travel_Rarely 817 Sales
## 23 23 43 No Travel_Frequently 1001 Research & Development
## 24 24 31 No Travel_Frequently 715 Sales
## 25 25 33 No Travel_Rarely 1069 Research & Development
## 26 26 44 No Travel_Rarely 1099 Sales
## 27 27 38 No Travel_Rarely 1245 Sales
## 28 28 33 Yes Travel_Rarely 603 Sales
## 29 29 53 Yes Travel_Rarely 1168 Sales
## 30 30 52 No Non-Travel 715 Research & Development
## 31 31 32 No Travel_Frequently 689 Sales
## 32 32 33 No Travel_Rarely 267 Research & Development
## 33 33 46 No Travel_Rarely 488 Sales
## 34 34 35 No Travel_Rarely 982 Research & Development
## 35 35 32 No Travel_Rarely 1373 Research & Development
## 36 36 32 No Travel_Frequently 1311 Research & Development
## 37 37 35 Yes Travel_Rarely 737 Sales
## 38 38 36 Yes Travel_Rarely 1456 Sales
## 39 39 56 No Travel_Rarely 206 Human Resources
## 40 40 31 No Travel_Frequently 793 Sales
## 41 41 58 No Non-Travel 350 Sales
## 42 42 45 No Travel_Rarely 954 Sales
## 43 43 49 No Travel_Rarely 464 Research & Development
## 44 44 42 No Travel_Rarely 1059 Research & Development
## 45 45 23 No Travel_Rarely 373 Research & Development
## 46 46 42 No Travel_Frequently 748 Research & Development
## 47 47 32 Yes Travel_Rarely 964 Sales
## 48 48 38 No Travel_Rarely 770 Sales
## 49 49 18 Yes Travel_Frequently 1306 Sales
## 50 50 27 No Non-Travel 691 Research & Development
## 51 51 38 No Travel_Rarely 362 Research & Development
## 52 52 58 No Travel_Rarely 1055 Research & Development
## 53 53 44 No Travel_Rarely 1117 Research & Development
## 54 54 45 No Non-Travel 805 Research & Development
## 55 55 31 No Travel_Rarely 746 Research & Development
## 56 56 41 No Travel_Rarely 548 Research & Development
## 57 57 42 Yes Travel_Frequently 933 Research & Development
## 58 58 29 No Travel_Rarely 1370 Research & Development
## 59 59 37 No Non-Travel 728 Research & Development
## 60 60 25 Yes Travel_Frequently 599 Sales
## 61 61 36 Yes Travel_Rarely 530 Sales
## 62 62 36 No Travel_Rarely 325 Research & Development
## 63 63 31 No Travel_Rarely 1154 Sales
## 64 64 18 No Non-Travel 1431 Research & Development
## 65 65 24 Yes Travel_Rarely 984 Research & Development
## 66 66 32 No Travel_Rarely 334 Research & Development
## 67 67 35 No Travel_Rarely 1017 Research & Development
## 68 68 23 No Travel_Rarely 571 Research & Development
## 69 69 35 No Travel_Frequently 664 Research & Development
## 70 70 37 No Travel_Rarely 1372 Research & Development
## 71 71 41 No Travel_Rarely 642 Research & Development
## 72 72 28 No Travel_Rarely 866 Sales
## 73 73 35 Yes Travel_Rarely 556 Research & Development
## 74 74 41 No Travel_Rarely 167 Research & Development
## 75 75 52 Yes Travel_Rarely 1030 Sales
## 76 76 30 No Travel_Frequently 721 Research & Development
## 77 77 34 No Travel_Rarely 971 Sales
## 78 78 46 No Travel_Rarely 563 Sales
## 79 79 45 No Non-Travel 1052 Sales
## 80 80 31 No Travel_Rarely 1276 Research & Development
## 81 81 37 Yes Travel_Rarely 1141 Research & Development
## 82 82 35 No Travel_Rarely 1370 Research & Development
## 83 83 38 No Travel_Frequently 508 Research & Development
## 84 84 37 No Travel_Rarely 1319 Research & Development
## 85 85 36 No Travel_Rarely 429 Research & Development
## 86 86 59 No Travel_Rarely 715 Research & Development
## 87 87 47 No Travel_Rarely 703 Sales
## 88 88 35 Yes Travel_Rarely 622 Research & Development
## 89 89 27 No Travel_Frequently 994 Sales
## 90 90 46 No Travel_Rarely 705 Sales
## 91 91 38 No Travel_Frequently 1490 Research & Development
## 92 92 29 Yes Travel_Rarely 408 Sales
## 93 93 37 Yes Travel_Rarely 1373 Research & Development
## 94 94 35 No Travel_Rarely 670 Research & Development
## 95 95 50 No Travel_Rarely 1452 Research & Development
## 96 96 42 No Travel_Rarely 635 Sales
## 97 97 46 No Travel_Rarely 228 Sales
## 98 98 37 No Non-Travel 1040 Research & Development
## 99 99 29 No Travel_Frequently 410 Research & Development
## 100 100 34 No Travel_Rarely 401 Research & Development
## 101 101 27 No Travel_Rarely 1377 Research & Development
## 102 102 31 No Travel_Rarely 326 Sales
## 103 103 34 No Non-Travel 1381 Sales
## 104 104 23 No Travel_Rarely 885 Research & Development
## 105 105 53 No Travel_Rarely 447 Research & Development
## 106 106 26 No Travel_Rarely 1384 Research & Development
## 107 107 29 No Non-Travel 1496 Research & Development
## 108 108 55 No Travel_Rarely 189 Human Resources
## 109 109 46 Yes Travel_Rarely 261 Research & Development
## 110 110 32 No Travel_Rarely 529 Research & Development
## 111 111 28 No Travel_Frequently 773 Research & Development
## 112 112 52 No Travel_Rarely 1053 Research & Development
## 113 113 52 No Travel_Rarely 994 Research & Development
## 114 114 35 No Non-Travel 1225 Research & Development
## 115 115 35 No Travel_Rarely 1361 Sales
## 116 116 37 No Non-Travel 1252 Sales
## 117 117 25 No Travel_Rarely 1356 Sales
## 118 118 29 No Travel_Rarely 1378 Research & Development
## 119 119 41 No Travel_Rarely 465 Research & Development
## 120 120 34 No Travel_Rarely 404 Research & Development
## 121 121 36 No Non-Travel 427 Research & Development
## 122 122 21 No Travel_Rarely 501 Sales
## 123 123 45 No Travel_Rarely 930 Sales
## 124 124 38 No Travel_Rarely 243 Sales
## 125 125 29 No Travel_Frequently 442 Sales
## 126 126 35 No Travel_Rarely 1224 Sales
## 127 127 32 Yes Travel_Frequently 1125 Research & Development
## 128 128 45 No Travel_Rarely 556 Research & Development
## 129 129 43 No Travel_Rarely 930 Research & Development
## 130 130 46 No Travel_Rarely 1319 Sales
## 131 131 29 No Travel_Rarely 991 Sales
## 132 132 49 No Travel_Rarely 1313 Sales
## 133 133 42 No Travel_Frequently 1368 Research & Development
## 134 134 39 No Travel_Rarely 492 Research & Development
## 135 135 43 No Travel_Frequently 559 Research & Development
## 136 136 40 No Travel_Frequently 791 Research & Development
## 137 137 29 Yes Travel_Rarely 805 Research & Development
## 138 138 54 No Travel_Rarely 1441 Research & Development
## 139 139 39 Yes Travel_Rarely 1122 Research & Development
## 140 140 37 No Travel_Rarely 1189 Sales
## 141 141 56 No Travel_Rarely 1369 Research & Development
## 142 142 58 No Travel_Rarely 848 Research & Development
## 143 143 46 No Travel_Rarely 566 Research & Development
## 144 144 37 No Travel_Rarely 228 Sales
## 145 145 40 No Travel_Rarely 1202 Research & Development
## 146 146 29 No Non-Travel 746 Sales
## 147 147 33 No Travel_Rarely 931 Research & Development
## 148 148 33 No Travel_Rarely 1242 Sales
## 149 149 24 No Travel_Rarely 477 Research & Development
## 150 150 28 No Travel_Rarely 580 Research & Development
## 151 151 31 Yes Travel_Rarely 1365 Sales
## 152 152 32 No Travel_Rarely 929 Sales
## 153 153 32 No Travel_Rarely 906 Sales
## 154 154 41 No Travel_Rarely 447 Research & Development
## 155 155 34 No Travel_Rarely 546 Research & Development
## 156 156 30 No Non-Travel 641 Sales
## 157 157 40 No Travel_Rarely 444 Sales
## 158 158 39 Yes Travel_Frequently 203 Research & Development
## 159 159 43 No Travel_Frequently 1082 Research & Development
## 160 160 42 No Travel_Frequently 458 Research & Development
## 161 161 30 No Travel_Rarely 852 Research & Development
## 162 162 28 Yes Non-Travel 1366 Research & Development
## 163 163 33 No Travel_Rarely 1216 Sales
## 164 164 42 No Travel_Rarely 916 Research & Development
## 165 165 35 No Travel_Rarely 1232 Sales
## 166 166 20 Yes Travel_Rarely 500 Sales
## 167 167 49 No Travel_Rarely 301 Research & Development
## 168 168 33 No Travel_Rarely 922 Research & Development
## 169 169 52 No Travel_Rarely 956 Research & Development
## 170 170 29 No Travel_Rarely 1107 Research & Development
## 171 171 30 No Travel_Rarely 501 Sales
## 172 172 47 No Non-Travel 1169 Research & Development
## 173 173 46 No Travel_Frequently 1034 Research & Development
## 174 174 33 No Travel_Rarely 536 Sales
## 175 175 53 No Travel_Rarely 1376 Sales
## 176 176 21 No Travel_Rarely 984 Research & Development
## 177 177 55 Yes Travel_Rarely 725 Research & Development
## 178 178 26 Yes Travel_Frequently 342 Research & Development
## 179 179 32 No Travel_Frequently 967 Sales
## 180 180 38 No Travel_Rarely 702 Sales
## 181 181 35 No Travel_Rarely 819 Research & Development
## 182 182 38 No Travel_Rarely 1009 Sales
## 183 183 43 No Travel_Frequently 957 Research & Development
## 184 184 39 No Travel_Rarely 1089 Research & Development
## 185 185 39 No Travel_Frequently 443 Research & Development
## 186 186 28 No Travel_Rarely 1158 Research & Development
## 187 187 25 No Travel_Frequently 772 Research & Development
## 188 188 47 No Travel_Rarely 1225 Sales
## 189 189 50 No Travel_Rarely 797 Research & Development
## 190 190 28 No Non-Travel 120 Sales
## 191 191 30 No Travel_Rarely 1275 Research & Development
## 192 192 31 No Travel_Frequently 1125 Sales
## 193 193 46 No Travel_Rarely 1485 Research & Development
## 194 194 48 No Travel_Rarely 163 Sales
## 195 195 26 No Travel_Rarely 683 Research & Development
## 196 196 51 No Travel_Rarely 833 Research & Development
## 197 197 51 No Travel_Rarely 432 Research & Development
## 198 198 49 No Travel_Rarely 174 Sales
## 199 199 44 No Travel_Rarely 477 Research & Development
## 200 200 24 No Travel_Rarely 823 Research & Development
## 201 201 40 Yes Non-Travel 1479 Sales
## 202 202 32 No Travel_Rarely 548 Research & Development
## 203 203 32 No Travel_Rarely 859 Research & Development
## 204 204 28 Yes Travel_Rarely 654 Research & Development
## 205 205 32 No Travel_Rarely 1401 Sales
## 206 206 44 No Travel_Rarely 661 Research & Development
## 207 207 43 Yes Travel_Rarely 1372 Sales
## 208 208 38 Yes Travel_Rarely 1180 Research & Development
## 209 209 30 No Travel_Rarely 201 Research & Development
## 210 210 41 No Travel_Rarely 802 Sales
## 211 211 41 No Travel_Rarely 582 Research & Development
## 212 212 42 No Travel_Rarely 265 Sales
## 213 213 37 No Travel_Rarely 1225 Research & Development
## 214 214 42 No Travel_Rarely 932 Research & Development
## 215 215 27 No Travel_Rarely 1115 Research & Development
## 216 216 40 No Travel_Rarely 896 Research & Development
## 217 217 38 No Travel_Rarely 1495 Research & Development
## 218 218 48 No Travel_Frequently 117 Research & Development
## 219 219 30 No Travel_Rarely 438 Research & Development
## 220 220 26 No Travel_Rarely 583 Research & Development
## 221 221 34 No Travel_Rarely 304 Sales
## 222 222 45 Yes Travel_Frequently 306 Sales
## 223 223 33 No Non-Travel 530 Sales
## 224 224 28 No Travel_Rarely 1423 Research & Development
## 225 225 38 No Travel_Rarely 1206 Research & Development
## 226 226 30 No Travel_Rarely 911 Research & Development
## 227 227 35 No Travel_Rarely 464 Research & Development
## 228 228 22 No Travel_Rarely 1136 Research & Development
## 229 229 24 No Travel_Rarely 1353 Sales
## 230 230 49 No Travel_Rarely 465 Research & Development
## 231 231 45 No Travel_Rarely 1329 Research & Development
## 232 232 35 No Travel_Rarely 890 Sales
## 233 233 47 Yes Travel_Frequently 1093 Sales
## 234 234 54 No Travel_Rarely 1147 Sales
## 235 235 43 No Travel_Frequently 394 Sales
## 236 236 37 Yes Travel_Rarely 625 Sales
## 237 237 42 No Travel_Rarely 300 Research & Development
## 238 238 32 No Travel_Rarely 646 Research & Development
## 239 239 25 No Travel_Rarely 309 Human Resources
## 240 240 50 No Travel_Rarely 813 Research & Development
## 241 241 42 No Travel_Rarely 319 Research & Development
## 242 242 45 No Travel_Frequently 364 Research & Development
## 243 243 29 No Travel_Rarely 1328 Research & Development
## 244 244 25 Yes Travel_Rarely 383 Sales
## 245 245 29 No Travel_Rarely 718 Research & Development
## 246 246 29 No Travel_Rarely 1086 Research & Development
## 247 247 31 No Travel_Rarely 1232 Research & Development
## 248 248 32 No Travel_Rarely 234 Sales
## 249 249 41 No Travel_Frequently 1200 Research & Development
## 250 250 41 No Travel_Rarely 1276 Sales
## 251 251 33 No Non-Travel 1313 Research & Development
## 252 252 36 No Non-Travel 1229 Sales
## 253 253 45 No Travel_Rarely 252 Research & Development
## 254 254 31 Yes Travel_Rarely 359 Human Resources
## 255 255 40 No Non-Travel 218 Research & Development
## 256 256 43 No Non-Travel 343 Research & Development
## 257 257 31 No Travel_Frequently 444 Sales
## 258 258 30 No Travel_Rarely 855 Sales
## 259 259 34 No Travel_Rarely 1480 Sales
## 260 260 25 No Travel_Rarely 977 Research & Development
## 261 261 31 Yes Travel_Frequently 703 Sales
## 262 262 29 Yes Travel_Rarely 224 Research & Development
## 263 263 33 Yes Travel_Rarely 813 Research & Development
## 264 264 29 No Travel_Frequently 1404 Sales
## 265 265 24 No Travel_Rarely 1127 Research & Development
## 266 266 35 No Travel_Rarely 809 Research & Development
## 267 267 34 No Travel_Frequently 829 Research & Development
## 268 268 32 Yes Travel_Rarely 1259 Research & Development
## 269 269 33 No Travel_Frequently 1303 Research & Development
## 270 270 30 No Travel_Rarely 1176 Research & Development
## 271 271 45 No Non-Travel 589 Sales
## 272 272 34 No Travel_Rarely 1130 Research & Development
## 273 273 27 No Travel_Rarely 728 Sales
## 274 274 36 No Travel_Rarely 329 Sales
## 275 275 55 No Travel_Rarely 692 Research & Development
## 276 276 56 No Travel_Rarely 718 Research & Development
## 277 277 22 No Travel_Rarely 253 Research & Development
## 278 278 43 No Travel_Frequently 185 Research & Development
## 279 279 25 Yes Travel_Rarely 240 Sales
## 280 280 55 No Travel_Rarely 1229 Research & Development
## 281 281 43 No Travel_Rarely 1179 Sales
## 282 282 41 No Travel_Rarely 263 Research & Development
## 283 283 40 No Travel_Rarely 1194 Research & Development
## 284 284 31 No Travel_Rarely 691 Sales
## 285 285 38 No Travel_Rarely 433 Human Resources
## 286 286 33 No Travel_Rarely 589 Research & Development
## 287 287 22 Yes Travel_Rarely 391 Research & Development
## 288 288 34 No Travel_Rarely 1346 Research & Development
## 289 289 36 No Travel_Frequently 1467 Sales
## 290 290 35 No Travel_Rarely 384 Sales
## 291 291 45 No Travel_Rarely 974 Research & Development
## 292 292 36 No Non-Travel 1105 Research & Development
## 293 293 27 No Travel_Rarely 894 Research & Development
## 294 294 47 No Non-Travel 1162 Research & Development
## 295 295 40 No Travel_Rarely 898 Human Resources
## 296 296 35 No Travel_Rarely 1490 Research & Development
## 297 297 34 No Travel_Frequently 1069 Research & Development
## 298 298 34 Yes Travel_Frequently 658 Research & Development
## 299 299 31 Yes Non-Travel 335 Research & Development
## 300 300 28 Yes Travel_Rarely 1157 Research & Development
## 301 301 32 No Travel_Frequently 379 Sales
## 302 302 35 No Travel_Frequently 853 Sales
## 303 303 55 No Travel_Rarely 1441 Research & Development
## 304 304 35 No Travel_Rarely 1395 Research & Development
## 305 305 58 Yes Travel_Rarely 289 Research & Development
## 306 306 24 No Non-Travel 1269 Research & Development
## 307 307 50 No Travel_Rarely 804 Research & Development
## 308 308 34 No Non-Travel 697 Research & Development
## 309 309 55 No Travel_Frequently 135 Research & Development
## 310 310 25 No Travel_Rarely 810 Sales
## 311 311 34 No Travel_Rarely 1351 Research & Development
## 312 312 40 No Travel_Rarely 302 Research & Development
## 313 313 31 Yes Travel_Frequently 561 Research & Development
## 314 314 51 No Travel_Rarely 1169 Research & Development
## 315 315 60 No Travel_Rarely 1179 Sales
## 316 316 47 No Travel_Rarely 955 Sales
## 317 317 34 No Travel_Frequently 303 Sales
## 318 318 24 No Travel_Rarely 771 Research & Development
## 319 319 39 No Travel_Rarely 1498 Sales
## 320 320 19 No Travel_Rarely 265 Research & Development
## 321 321 32 No Non-Travel 1184 Research & Development
## 322 322 34 No Travel_Rarely 1397 Research & Development
## 323 323 30 No Travel_Frequently 1012 Research & Development
## 324 324 46 No Travel_Rarely 1003 Research & Development
## 325 325 39 No Travel_Rarely 466 Research & Development
## 326 326 27 No Travel_Rarely 618 Research & Development
## 327 327 44 No Travel_Rarely 1313 Research & Development
## 328 328 42 No Travel_Rarely 557 Research & Development
## 329 329 38 No Travel_Frequently 1394 Research & Development
## 330 330 42 No Travel_Rarely 1147 Human Resources
## 331 331 49 No Travel_Rarely 809 Research & Development
## 332 332 32 Yes Travel_Rarely 1045 Sales
## 333 333 44 Yes Travel_Frequently 429 Research & Development
## 334 334 27 No Travel_Rarely 608 Research & Development
## 335 335 59 No Non-Travel 1420 Human Resources
## 336 336 33 Yes Travel_Frequently 827 Research & Development
## 337 337 35 No Travel_Frequently 1182 Sales
## 338 338 34 No Travel_Frequently 618 Research & Development
## 339 339 50 Yes Travel_Frequently 959 Sales
## 340 340 27 No Travel_Rarely 1240 Research & Development
## 341 341 36 No Travel_Rarely 852 Research & Development
## 342 342 28 No Travel_Frequently 193 Research & Development
## 343 343 33 No Travel_Rarely 654 Research & Development
## 344 344 30 No Travel_Frequently 160 Research & Development
## 345 345 30 No Travel_Rarely 1329 Sales
## 346 346 39 No Travel_Rarely 119 Sales
## 347 347 34 No Travel_Frequently 1003 Research & Development
## 348 348 26 No Travel_Frequently 1479 Research & Development
## 349 349 44 No Non-Travel 111 Research & Development
## 350 350 56 No Travel_Rarely 832 Research & Development
## 351 351 42 No Travel_Rarely 1396 Research & Development
## 352 352 31 No Travel_Rarely 218 Sales
## 353 353 40 No Travel_Frequently 902 Research & Development
## 354 354 40 No Non-Travel 1142 Research & Development
## 355 355 41 No Travel_Rarely 796 Sales
## 356 356 34 No Travel_Rarely 1326 Sales
## 357 357 26 No Travel_Rarely 841 Research & Development
## 358 358 29 Yes Travel_Rarely 408 Research & Development
## 359 359 32 No Travel_Rarely 427 Research & Development
## 360 360 36 No Travel_Rarely 1403 Research & Development
## 361 361 52 No Travel_Rarely 699 Research & Development
## 362 362 29 Yes Travel_Frequently 746 Sales
## 363 363 52 Yes Travel_Rarely 266 Sales
## 364 364 40 No Travel_Rarely 1416 Research & Development
## 365 365 55 No Travel_Rarely 282 Research & Development
## 366 366 56 No Travel_Frequently 906 Sales
## 367 367 34 No Travel_Frequently 135 Research & Development
## 368 368 40 No Travel_Rarely 1342 Sales
## 369 369 23 No Travel_Rarely 977 Research & Development
## 370 370 32 No Travel_Rarely 1018 Research & Development
## 371 371 31 No Travel_Frequently 853 Research & Development
## 372 372 30 No Non-Travel 1398 Sales
## 373 373 45 No Travel_Frequently 1249 Research & Development
## 374 374 37 No Travel_Rarely 1470 Research & Development
## 375 375 20 No Travel_Rarely 727 Sales
## 376 376 50 No Travel_Frequently 333 Research & Development
## 377 377 36 Yes Travel_Rarely 885 Research & Development
## 378 378 42 No Travel_Rarely 419 Sales
## 379 379 29 No Travel_Rarely 942 Research & Development
## 380 380 30 Yes Travel_Rarely 138 Research & Development
## 381 381 47 No Travel_Rarely 1482 Research & Development
## 382 382 26 No Travel_Rarely 1355 Human Resources
## 383 383 48 No Travel_Rarely 1221 Sales
## 384 384 23 No Travel_Rarely 541 Sales
## 385 385 51 Yes Travel_Rarely 1323 Research & Development
## 386 386 38 No Travel_Rarely 1333 Research & Development
## 387 387 35 No Travel_Frequently 944 Sales
## 388 388 29 No Travel_Rarely 232 Research & Development
## 389 389 36 No Travel_Rarely 530 Sales
## 390 390 21 Yes Travel_Frequently 756 Sales
## 391 391 34 No Travel_Rarely 1111 Sales
## 392 392 26 No Travel_Rarely 1443 Sales
## 393 393 31 No Non-Travel 976 Research & Development
## 394 394 60 No Travel_Frequently 1499 Sales
## 395 395 42 No Travel_Frequently 1271 Research & Development
## 396 396 31 No Travel_Rarely 192 Research & Development
## 397 397 46 No Travel_Rarely 1009 Research & Development
## 398 398 34 Yes Travel_Rarely 1107 Human Resources
## 399 399 56 No Non-Travel 667 Research & Development
## 400 400 44 No Travel_Frequently 1193 Research & Development
## 401 401 30 No Travel_Rarely 317 Research & Development
## 402 402 42 No Non-Travel 926 Research & Development
## 403 403 47 No Travel_Rarely 207 Research & Development
## 404 404 36 No Travel_Rarely 711 Research & Development
## 405 405 35 No Travel_Rarely 1343 Research & Development
## 406 406 43 No Travel_Rarely 782 Research & Development
## 407 407 31 No Travel_Rarely 196 Sales
## 408 408 36 No Travel_Rarely 917 Research & Development
## 409 409 53 No Travel_Rarely 1219 Sales
## 410 410 43 No Travel_Rarely 589 Research & Development
## 411 411 36 No Travel_Rarely 1278 Human Resources
## 412 412 41 No Travel_Rarely 918 Sales
## 413 413 37 No Travel_Rarely 408 Research & Development
## 414 414 32 No Travel_Frequently 1318 Sales
## 415 415 34 Yes Travel_Frequently 296 Sales
## 416 416 35 No Non-Travel 1180 Research & Development
## 417 417 30 No Non-Travel 1116 Research & Development
## 418 418 36 No Travel_Frequently 566 Research & Development
## 419 419 37 No Travel_Rarely 977 Research & Development
## 420 420 29 No Travel_Rarely 986 Research & Development
## 421 421 34 No Travel_Rarely 1153 Research & Development
## 422 422 37 No Non-Travel 1063 Research & Development
## 423 423 31 Yes Travel_Rarely 249 Sales
## 424 424 18 No Non-Travel 1124 Research & Development
## 425 425 28 No Travel_Rarely 736 Sales
## 426 426 43 No Travel_Rarely 415 Sales
## 427 427 30 No Non-Travel 990 Research & Development
## 428 428 21 No Travel_Rarely 996 Research & Development
## 429 429 32 Yes Travel_Rarely 515 Research & Development
## 430 430 34 No Travel_Rarely 470 Research & Development
## 431 431 27 No Travel_Rarely 1377 Sales
## 432 432 40 No Non-Travel 458 Research & Development
## 433 433 49 Yes Travel_Frequently 1475 Research & Development
## 434 434 29 No Travel_Rarely 590 Research & Development
## 435 435 40 No Travel_Rarely 658 Sales
## 436 436 27 No Travel_Rarely 1130 Sales
## 437 437 28 Yes Travel_Rarely 890 Research & Development
## 438 438 26 No Travel_Rarely 157 Research & Development
## 439 439 50 Yes Travel_Rarely 869 Sales
## 440 440 38 No Travel_Rarely 827 Research & Development
## 441 441 32 No Travel_Frequently 1316 Research & Development
## 442 442 29 No Travel_Rarely 1082 Research & Development
## 443 443 28 Yes Travel_Rarely 529 Research & Development
## 444 444 44 No Travel_Rarely 528 Human Resources
## 445 445 46 No Travel_Rarely 734 Research & Development
## 446 446 47 No Travel_Rarely 465 Research & Development
## 447 447 38 No Travel_Frequently 1189 Research & Development
## 448 448 42 No Travel_Rarely 1128 Research & Development
## 449 449 38 No Travel_Frequently 653 Research & Development
## 450 450 45 No Non-Travel 336 Sales
## 451 451 33 No Travel_Rarely 501 Research & Development
## 452 452 44 No Travel_Rarely 1467 Research & Development
## 453 453 35 Yes Travel_Rarely 303 Sales
## 454 454 33 No Travel_Rarely 217 Sales
## 455 455 48 No Travel_Rarely 1236 Research & Development
## 456 456 40 No Travel_Rarely 611 Sales
## 457 457 31 No Travel_Rarely 1112 Sales
## 458 458 51 No Travel_Rarely 632 Sales
## 459 459 56 No Travel_Rarely 1255 Research & Development
## 460 460 36 No Travel_Rarely 172 Research & Development
## 461 461 42 No Travel_Frequently 1474 Research & Development
## 462 462 36 No Travel_Rarely 311 Research & Development
## 463 463 50 No Travel_Frequently 809 Sales
## 464 464 31 No Travel_Frequently 163 Research & Development
## 465 465 43 Yes Travel_Frequently 807 Research & Development
## 466 466 38 No Travel_Rarely 371 Research & Development
## 467 467 36 No Travel_Rarely 1157 Sales
## 468 468 36 No Travel_Rarely 132 Research & Development
## 469 469 26 Yes Non-Travel 265 Sales
## 470 470 53 No Travel_Rarely 1084 Research & Development
## 471 471 27 No Travel_Rarely 1354 Research & Development
## 472 472 29 Yes Travel_Frequently 459 Research & Development
## 473 473 45 No Travel_Rarely 193 Research & Development
## 474 474 45 No Travel_Rarely 1316 Research & Development
## 475 475 28 No Travel_Rarely 895 Research & Development
## 476 476 46 No Travel_Frequently 1211 Sales
## 477 477 37 No Travel_Rarely 342 Sales
## 478 478 26 No Travel_Rarely 775 Sales
## 479 479 52 No Travel_Rarely 258 Research & Development
## 480 480 37 No Travel_Rarely 161 Research & Development
## 481 481 29 No Travel_Rarely 136 Research & Development
## 482 482 31 No Travel_Rarely 1222 Research & Development
## 483 483 34 No Travel_Frequently 735 Research & Development
## 484 484 56 No Travel_Rarely 713 Research & Development
## 485 485 58 Yes Travel_Rarely 147 Research & Development
## 486 486 41 Yes Travel_Rarely 1102 Sales
## 487 487 30 Yes Travel_Rarely 945 Sales
## 488 488 31 No Travel_Rarely 670 Research & Development
## 489 489 48 Yes Travel_Rarely 626 Research & Development
## 490 490 34 No Travel_Rarely 970 Research & Development
## 491 491 49 No Travel_Frequently 636 Research & Development
## 492 492 50 No Travel_Rarely 1322 Research & Development
## 493 493 29 No Travel_Rarely 469 Sales
## 494 494 35 No Travel_Rarely 1029 Research & Development
## 495 495 36 No Travel_Rarely 1266 Sales
## 496 496 51 No Travel_Rarely 1318 Sales
## 497 497 45 No Travel_Rarely 192 Research & Development
## 498 498 37 No Travel_Frequently 889 Research & Development
## 499 499 36 No Travel_Rarely 1299 Research & Development
## 500 500 39 No Non-Travel 1251 Sales
## 501 501 58 Yes Travel_Rarely 601 Research & Development
## 502 502 28 Yes Travel_Rarely 103 Research & Development
## 503 503 48 Yes Travel_Frequently 708 Sales
## 504 504 29 No Travel_Rarely 1389 Research & Development
## 505 505 47 No Travel_Rarely 359 Research & Development
## 506 506 32 No Travel_Rarely 824 Research & Development
## 507 507 33 Yes Travel_Rarely 350 Sales
## 508 508 51 No Travel_Frequently 541 Sales
## 509 509 37 No Travel_Frequently 319 Sales
## 510 510 41 Yes Travel_Rarely 1360 Research & Development
## 511 511 38 No Travel_Rarely 345 Sales
## 512 512 39 No Non-Travel 1485 Research & Development
## 513 513 32 No Travel_Frequently 585 Research & Development
## 514 514 33 No Travel_Frequently 515 Research & Development
## 515 515 21 No Non-Travel 895 Sales
## 516 516 51 No Travel_Rarely 1302 Research & Development
## 517 517 25 Yes Travel_Rarely 867 Sales
## 518 518 42 No Travel_Rarely 855 Research & Development
## 519 519 30 No Travel_Rarely 1138 Research & Development
## 520 520 56 Yes Travel_Rarely 1162 Research & Development
## 521 521 34 No Travel_Frequently 702 Research & Development
## 522 522 28 Yes Travel_Rarely 329 Research & Development
## 523 523 45 No Travel_Rarely 1339 Research & Development
## 524 524 49 No Travel_Rarely 1245 Research & Development
## 525 525 59 No Travel_Rarely 142 Research & Development
## 526 526 53 No Travel_Frequently 124 Sales
## 527 527 45 No Travel_Rarely 1268 Sales
## 528 528 31 No Travel_Rarely 1332 Research & Development
## 529 529 35 No Travel_Rarely 1214 Research & Development
## 530 530 56 Yes Travel_Rarely 441 Research & Development
## 531 531 38 No Travel_Rarely 330 Research & Development
## 532 532 36 No Travel_Rarely 884 Sales
## 533 533 29 No Travel_Rarely 1252 Research & Development
## 534 534 32 No Non-Travel 1146 Research & Development
## 535 535 29 Yes Travel_Rarely 318 Research & Development
## 536 536 43 No Non-Travel 1344 Research & Development
## 537 537 38 No Travel_Rarely 130 Sales
## 538 538 42 No Travel_Rarely 544 Human Resources
## 539 539 24 Yes Travel_Rarely 1448 Sales
## 540 540 42 No Travel_Rarely 647 Sales
## 541 541 30 No Travel_Rarely 853 Research & Development
## 542 542 33 No Travel_Rarely 867 Research & Development
## 543 543 27 No Non-Travel 1450 Research & Development
## 544 544 38 No Travel_Rarely 1261 Research & Development
## 545 545 34 No Travel_Rarely 121 Research & Development
## 546 546 34 No Travel_Rarely 678 Research & Development
## 547 547 49 No Travel_Rarely 527 Research & Development
## 548 548 40 No Travel_Frequently 720 Research & Development
## 549 549 38 No Travel_Rarely 849 Research & Development
## 550 550 45 No Travel_Rarely 788 Human Resources
## 551 551 41 No Travel_Rarely 314 Human Resources
## 552 552 28 No Travel_Rarely 1169 Human Resources
## 553 553 36 No Travel_Frequently 1213 Human Resources
## 554 554 48 No Travel_Rarely 1469 Research & Development
## 555 555 40 No Non-Travel 1151 Research & Development
## 556 556 37 No Travel_Rarely 558 Sales
## 557 557 54 No Travel_Rarely 548 Research & Development
## 558 558 34 No Travel_Rarely 254 Research & Development
## 559 559 42 No Travel_Rarely 933 Research & Development
## 560 560 26 No Travel_Rarely 933 Sales
## 561 561 36 No Travel_Frequently 1480 Research & Development
## 562 562 58 No Travel_Frequently 1216 Research & Development
## 563 563 27 No Travel_Rarely 1134 Research & Development
## 564 564 31 No Non-Travel 697 Research & Development
## 565 565 30 No Travel_Rarely 921 Research & Development
## 566 566 44 No Travel_Rarely 1037 Research & Development
## 567 567 32 No Travel_Rarely 128 Research & Development
## 568 568 30 Yes Travel_Rarely 740 Sales
## 569 569 42 No Travel_Rarely 462 Sales
## 570 570 50 No Travel_Rarely 939 Research & Development
## 571 571 41 No Travel_Rarely 337 Sales
## 572 572 21 Yes Travel_Rarely 1427 Research & Development
## 573 573 28 No Travel_Frequently 783 Sales
## 574 574 34 No Travel_Rarely 810 Sales
## 575 575 26 No Travel_Rarely 703 Sales
## 576 576 37 No Travel_Rarely 1115 Research & Development
## 577 577 38 No Travel_Rarely 1404 Sales
## 578 578 44 No Non-Travel 981 Research & Development
## 579 579 39 No Travel_Frequently 711 Research & Development
## 580 580 29 No Travel_Rarely 1329 Research & Development
## 581 581 25 No Travel_Rarely 882 Research & Development
## 582 582 42 No Travel_Rarely 810 Research & Development
## 583 583 38 No Travel_Rarely 833 Research & Development
## 584 584 28 No Travel_Rarely 760 Sales
## 585 585 44 No Travel_Rarely 1459 Research & Development
## 586 586 40 No Travel_Rarely 905 Research & Development
## 587 587 38 No Non-Travel 573 Research & Development
## 588 588 36 Yes Travel_Rarely 1218 Sales
## 589 589 37 No Travel_Rarely 1462 Research & Development
## 590 590 35 No Travel_Rarely 1142 Research & Development
## 591 591 22 No Non-Travel 457 Research & Development
## 592 592 34 Yes Travel_Rarely 790 Sales
## 593 593 28 Yes Travel_Frequently 1496 Sales
## 594 594 49 No Travel_Rarely 722 Research & Development
## 595 595 40 No Travel_Rarely 884 Research & Development
## 596 596 33 No Travel_Rarely 586 Sales
## 597 597 35 No Travel_Rarely 672 Research & Development
## 598 598 40 No Travel_Rarely 555 Research & Development
## 599 599 27 No Travel_Rarely 155 Research & Development
## 600 600 24 Yes Travel_Rarely 813 Research & Development
## 601 601 24 No Non-Travel 830 Sales
## 602 602 32 No Non-Travel 1200 Research & Development
## 603 603 30 No Travel_Rarely 153 Research & Development
## 604 604 29 No Travel_Rarely 1401 Research & Development
## 605 605 29 Yes Travel_Rarely 428 Sales
## 606 606 53 No Travel_Rarely 970 Research & Development
## 607 607 59 No Travel_Frequently 1225 Sales
## 608 608 38 No Travel_Rarely 322 Sales
## 609 609 26 No Travel_Rarely 652 Research & Development
## 610 610 33 No Non-Travel 1038 Sales
## 611 611 35 No Travel_Rarely 817 Research & Development
## 612 612 41 No Non-Travel 509 Research & Development
## 613 613 33 Yes Travel_Rarely 465 Research & Development
## 614 614 19 Yes Travel_Rarely 419 Sales
## 615 615 30 No Travel_Rarely 231 Sales
## 616 616 34 No Travel_Rarely 1157 Research & Development
## 617 617 33 No Travel_Rarely 1099 Research & Development
## 618 618 44 No Travel_Rarely 1488 Sales
## 619 619 39 No Travel_Rarely 613 Research & Development
## 620 620 35 No Non-Travel 727 Research & Development
## 621 621 20 Yes Travel_Frequently 871 Research & Development
## 622 622 47 No Travel_Frequently 1379 Research & Development
## 623 623 34 No Travel_Rarely 182 Research & Development
## 624 624 35 No Travel_Rarely 1146 Human Resources
## 625 625 28 Yes Travel_Frequently 289 Research & Development
## 626 626 27 No Travel_Rarely 1167 Research & Development
## 627 627 24 No Travel_Rarely 1476 Sales
## 628 628 38 No Travel_Rarely 343 Research & Development
## 629 629 55 No Travel_Frequently 1091 Research & Development
## 630 630 34 No Travel_Rarely 1442 Research & Development
## 631 631 55 No Travel_Rarely 836 Research & Development
## 632 632 34 No Travel_Rarely 937 Sales
## 633 633 38 No Travel_Rarely 1035 Sales
## 634 634 36 No Travel_Rarely 922 Research & Development
## 635 635 43 No Travel_Rarely 1001 Research & Development
## 636 636 35 No Travel_Frequently 636 Research & Development
## 637 637 42 No Travel_Rarely 469 Research & Development
## 638 638 34 No Travel_Rarely 1239 Sales
## 639 639 24 No Travel_Rarely 691 Research & Development
## 640 640 27 Yes Travel_Rarely 1420 Sales
## 641 641 30 No Travel_Rarely 1358 Research & Development
## 642 642 40 No Travel_Rarely 750 Research & Development
## 643 643 55 No Non-Travel 444 Research & Development
## 644 644 34 Yes Non-Travel 967 Research & Development
## 645 645 41 Yes Non-Travel 906 Research & Development
## 646 646 40 No Travel_Rarely 630 Sales
## 647 647 18 Yes Non-Travel 247 Research & Development
## 648 648 26 No Travel_Rarely 390 Research & Development
## 649 649 35 No Travel_Rarely 776 Sales
## 650 650 40 Yes Travel_Rarely 1329 Research & Development
## 651 651 35 No Travel_Rarely 992 Research & Development
## 652 652 60 No Travel_Rarely 696 Sales
## 653 653 40 No Travel_Frequently 593 Research & Development
## 654 654 48 No Travel_Rarely 530 Sales
## 655 655 22 Yes Travel_Frequently 1368 Research & Development
## 656 656 26 No Travel_Frequently 496 Research & Development
## 657 657 51 No Travel_Rarely 1469 Research & Development
## 658 658 54 No Travel_Frequently 1050 Research & Development
## 659 659 41 No Travel_Rarely 483 Research & Development
## 660 660 36 No Travel_Frequently 1195 Research & Development
## 661 661 32 No Travel_Frequently 430 Research & Development
## 662 662 34 No Travel_Rarely 1303 Research & Development
## 663 663 46 No Travel_Rarely 1277 Sales
## 664 664 35 No Travel_Rarely 802 Research & Development
## 665 665 34 No Non-Travel 1065 Sales
## 666 666 29 No Travel_Frequently 461 Research & Development
## 667 667 29 No Travel_Frequently 1413 Sales
## 668 668 33 Yes Travel_Rarely 587 Research & Development
## 669 669 32 Yes Travel_Rarely 1089 Research & Development
## 670 670 54 No Travel_Rarely 685 Research & Development
## 671 671 37 No Travel_Rarely 397 Research & Development
## 672 672 33 No Travel_Rarely 392 Sales
## 673 673 28 No Travel_Frequently 467 Sales
## 674 674 35 Yes Travel_Frequently 130 Research & Development
## 675 675 27 No Travel_Rarely 486 Research & Development
## 676 676 46 No Travel_Rarely 168 Sales
## 677 677 36 No Travel_Rarely 676 Research & Development
## 678 678 40 No Travel_Frequently 692 Research & Development
## 679 679 36 No Travel_Frequently 688 Research & Development
## 680 680 31 No Travel_Rarely 154 Sales
## 681 681 25 No Travel_Rarely 583 Sales
## 682 682 43 No Travel_Frequently 313 Research & Development
## 683 683 36 No Travel_Rarely 1351 Research & Development
## 684 684 57 No Travel_Rarely 334 Research & Development
## 685 685 28 No Travel_Rarely 440 Research & Development
## 686 686 31 No Travel_Rarely 1274 Research & Development
## 687 687 29 Yes Travel_Frequently 337 Research & Development
## 688 688 33 No Travel_Rarely 147 Research & Development
## 689 689 19 Yes Travel_Rarely 303 Research & Development
## 690 690 38 No Non-Travel 1336 Human Resources
## 691 691 38 No Travel_Frequently 888 Human Resources
## 692 692 47 Yes Non-Travel 666 Research & Development
## 693 693 42 No Travel_Rarely 1332 Research & Development
## 694 694 30 Yes Travel_Frequently 464 Research & Development
## 695 695 37 No Travel_Frequently 1278 Sales
## 696 696 47 No Travel_Rarely 1454 Sales
## 697 697 48 No Travel_Frequently 365 Research & Development
## 698 698 36 No Travel_Rarely 1396 Research & Development
## 699 699 18 Yes Travel_Frequently 544 Sales
## 700 700 46 No Travel_Rarely 1450 Research & Development
## 701 701 29 No Travel_Rarely 352 Human Resources
## 702 702 34 No Travel_Rarely 1400 Sales
## 703 703 35 No Non-Travel 1212 Sales
## 704 704 26 Yes Travel_Rarely 920 Human Resources
## 705 705 59 No Travel_Rarely 818 Human Resources
## 706 706 41 No Non-Travel 267 Sales
## 707 707 54 No Travel_Rarely 431 Research & Development
## 708 708 31 No Travel_Rarely 1398 Human Resources
## 709 709 38 No Travel_Rarely 1153 Research & Development
## 710 710 50 No Non-Travel 881 Research & Development
## 711 711 30 No Travel_Rarely 634 Research & Development
## 712 712 57 No Travel_Rarely 210 Sales
## 713 713 48 No Travel_Rarely 969 Research & Development
## 714 714 36 No Travel_Frequently 541 Sales
## 715 715 36 No Non-Travel 1434 Sales
## 716 716 24 Yes Travel_Rarely 240 Human Resources
## 717 717 30 No Travel_Rarely 852 Sales
## 718 718 28 No Travel_Rarely 857 Research & Development
## 719 719 35 Yes Travel_Frequently 880 Sales
## 720 720 28 No Travel_Rarely 950 Research & Development
## 721 721 37 No Travel_Rarely 482 Research & Development
## 722 722 37 No Travel_Rarely 671 Research & Development
## 723 723 34 No Travel_Frequently 560 Research & Development
## 724 724 36 No Travel_Rarely 796 Research & Development
## 725 725 42 No Travel_Rarely 1142 Research & Development
## 726 726 25 No Travel_Rarely 685 Research & Development
## 727 727 37 No Travel_Frequently 1231 Sales
## 728 728 34 No Travel_Frequently 878 Research & Development
## 729 729 26 Yes Travel_Rarely 471 Research & Development
## 730 730 22 No Travel_Rarely 594 Research & Development
## 731 731 43 No Travel_Rarely 177 Research & Development
## 732 732 39 Yes Travel_Rarely 1162 Sales
## 733 733 27 Yes Travel_Frequently 1337 Human Resources
## 734 734 32 Yes Non-Travel 1474 Sales
## 735 735 34 No Travel_Rarely 479 Research & Development
## 736 736 27 No Travel_Rarely 511 Sales
## 737 737 39 No Travel_Rarely 722 Sales
## 738 738 59 No Travel_Rarely 326 Sales
## 739 739 35 No Travel_Rarely 1219 Sales
## 740 740 35 No Travel_Rarely 538 Research & Development
## 741 741 25 No Travel_Rarely 959 Sales
## 742 742 31 No Travel_Rarely 688 Sales
## 743 743 37 No Travel_Rarely 674 Research & Development
## 744 744 23 No Travel_Rarely 160 Research & Development
## 745 745 25 No Travel_Rarely 1382 Sales
## 746 746 24 No Travel_Rarely 350 Research & Development
## 747 747 29 Yes Travel_Rarely 350 Human Resources
## 748 748 34 No Travel_Frequently 669 Research & Development
## 749 749 24 No Travel_Rarely 506 Research & Development
## 750 750 33 No Travel_Rarely 134 Research & Development
## 751 751 20 Yes Travel_Frequently 769 Sales
## 752 752 31 Yes Travel_Frequently 1060 Sales
## 753 753 50 No Travel_Frequently 1234 Research & Development
## 754 754 46 Yes Travel_Rarely 1254 Sales
## 755 755 54 No Travel_Rarely 1217 Research & Development
## 756 756 44 No Non-Travel 381 Research & Development
## 757 757 35 No Travel_Rarely 1137 Research & Development
## 758 758 49 No Travel_Rarely 1495 Research & Development
## 759 759 38 No Travel_Rarely 1495 Research & Development
## 760 760 45 Yes Travel_Rarely 1449 Sales
## 761 761 29 Yes Travel_Rarely 906 Research & Development
## 762 762 47 No Travel_Rarely 202 Research & Development
## 763 763 41 No Non-Travel 256 Sales
## 764 764 50 No Non-Travel 145 Sales
## 765 765 34 No Travel_Rarely 829 Human Resources
## 766 766 45 No Travel_Rarely 1015 Research & Development
## 767 767 41 No Travel_Rarely 509 Research & Development
## 768 768 40 No Non-Travel 1094 Sales
## 769 769 46 No Travel_Rarely 150 Research & Development
## 770 770 45 No Non-Travel 1050 Sales
## 771 771 33 No Travel_Frequently 508 Sales
## 772 772 46 No Travel_Rarely 526 Sales
## 773 773 39 No Travel_Frequently 505 Research & Development
## 774 774 36 Yes Travel_Rarely 318 Research & Development
## 775 775 42 No Travel_Frequently 288 Research & Development
## 776 776 23 No Travel_Rarely 310 Research & Development
## 777 777 30 No Travel_Rarely 330 Human Resources
## 778 778 32 No Non-Travel 862 Sales
## 779 779 26 No Non-Travel 786 Research & Development
## 780 780 29 Yes Travel_Rarely 1092 Research & Development
## 781 781 41 Yes Travel_Rarely 1356 Sales
## 782 782 39 No Travel_Rarely 408 Research & Development
## 783 783 33 No Travel_Rarely 1075 Human Resources
## 784 784 33 No Travel_Frequently 1146 Sales
## 785 785 47 No Non-Travel 543 Sales
## 786 786 31 No Travel_Rarely 182 Research & Development
## 787 787 51 No Travel_Rarely 942 Research & Development
## 788 788 52 Yes Travel_Rarely 723 Research & Development
## 789 789 55 No Travel_Rarely 478 Research & Development
## 790 790 25 No Travel_Rarely 266 Research & Development
## 791 791 49 No Travel_Rarely 271 Research & Development
## 792 792 34 No Travel_Rarely 629 Research & Development
## 793 793 38 No Travel_Rarely 397 Research & Development
## 794 794 36 No Travel_Rarely 1223 Research & Development
## 795 795 49 No Non-Travel 1002 Research & Development
## 796 796 33 Yes Travel_Frequently 1076 Research & Development
## 797 797 45 No Travel_Rarely 1385 Research & Development
## 798 798 22 Yes Travel_Rarely 1294 Research & Development
## 799 799 19 Yes Non-Travel 504 Research & Development
## 800 800 36 No Travel_Rarely 1040 Research & Development
## 801 801 33 No Travel_Frequently 1141 Sales
## 802 802 31 No Travel_Rarely 828 Sales
## 803 803 39 No Travel_Rarely 117 Research & Development
## 804 804 35 Yes Travel_Rarely 1204 Sales
## 805 805 44 No Non-Travel 489 Research & Development
## 806 806 36 No Travel_Rarely 1383 Research & Development
## 807 807 25 No Travel_Rarely 1372 Sales
## 808 808 22 No Travel_Rarely 1256 Research & Development
## 809 809 30 No Travel_Rarely 793 Research & Development
## 810 810 27 No Travel_Rarely 1157 Research & Development
## 811 811 30 No Non-Travel 111 Research & Development
## 812 812 25 No Travel_Rarely 949 Research & Development
## 813 813 24 No Travel_Rarely 1371 Sales
## 814 814 47 No Travel_Rarely 1176 Human Resources
## 815 815 38 No Travel_Rarely 395 Sales
## 816 816 33 No Travel_Rarely 117 Research & Development
## 817 817 30 No Travel_Rarely 946 Research & Development
## 818 818 33 No Travel_Rarely 213 Research & Development
## 819 819 30 No Travel_Rarely 1427 Research & Development
## 820 820 28 Yes Travel_Rarely 1475 Sales
## 821 821 32 No Travel_Rarely 634 Research & Development
## 822 822 29 No Travel_Rarely 1247 Sales
## 823 823 34 No Travel_Rarely 704 Sales
## 824 824 31 Yes Travel_Frequently 874 Research & Development
## 825 825 36 No Travel_Rarely 559 Research & Development
## 826 826 46 No Travel_Rarely 430 Research & Development
## 827 827 31 Yes Travel_Rarely 1079 Sales
## 828 828 34 No Travel_Rarely 131 Sales
## 829 829 38 No Travel_Frequently 594 Research & Development
## 830 830 50 No Travel_Frequently 1246 Human Resources
## 831 831 45 No Non-Travel 248 Research & Development
## 832 832 19 Yes Travel_Rarely 528 Sales
## 833 833 28 No Travel_Rarely 1179 Research & Development
## 834 834 19 No Travel_Rarely 645 Research & Development
## 835 835 55 No Non-Travel 177 Research & Development
## 836 836 37 No Non-Travel 142 Sales
## 837 837 37 No Travel_Rarely 1439 Research & Development
## 838 838 34 No Travel_Rarely 258 Sales
## 839 839 47 No Travel_Rarely 1001 Research & Development
## 840 840 48 No Travel_Rarely 1224 Research & Development
## 841 841 18 Yes Travel_Rarely 230 Research & Development
## 842 842 29 No Travel_Rarely 332 Human Resources
## 843 843 52 No Travel_Frequently 890 Research & Development
## 844 844 34 No Travel_Rarely 943 Research & Development
## 845 845 34 No Travel_Rarely 511 Sales
## 846 846 28 No Travel_Rarely 1300 Research & Development
## 847 847 19 No Travel_Rarely 1181 Research & Development
## 848 848 39 No Travel_Rarely 1132 Research & Development
## 849 849 40 Yes Travel_Rarely 575 Sales
## 850 850 26 No Travel_Frequently 1096 Research & Development
## 851 851 31 Yes Travel_Rarely 542 Sales
## 852 852 30 No Travel_Rarely 125 Research & Development
## 853 853 29 No Travel_Rarely 153 Research & Development
## 854 854 28 No Travel_Rarely 1476 Research & Development
## 855 855 35 No Travel_Rarely 219 Research & Development
## 856 856 35 No Travel_Rarely 660 Sales
## 857 857 30 Yes Travel_Rarely 1005 Research & Development
## 858 858 31 No Travel_Frequently 798 Research & Development
## 859 859 41 No Travel_Rarely 933 Research & Development
## 860 860 44 Yes Travel_Rarely 621 Research & Development
## 861 861 51 No Travel_Frequently 968 Research & Development
## 862 862 43 No Travel_Rarely 531 Sales
## 863 863 34 Yes Non-Travel 1362 Sales
## 864 864 47 No Travel_Frequently 217 Sales
## 865 865 45 No Travel_Rarely 1448 Research & Development
## 866 866 48 No Travel_Rarely 855 Research & Development
## 867 867 32 No Non-Travel 976 Sales
## 868 868 47 No Travel_Rarely 571 Sales
## 869 869 45 No Travel_Rarely 1457 Research & Development
## 870 870 35 No Travel_Frequently 138 Research & Development
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## 1 13 4 Life Sciences 1 859
## 2 14 3 Medical 1 1128
## 3 18 2 Life Sciences 1 1412
## 4 1 4 Marketing 1 2016
## 5 2 1 Technical Degree 1 1646
## 6 10 2 Life Sciences 1 733
## 7 5 5 Medical 1 1448
## 8 10 4 Life Sciences 1 1105
## 9 10 4 Life Sciences 1 1055
## 10 10 4 Technical Degree 1 1597
## 11 6 3 Medical 1 1866
## 12 1 2 Life Sciences 1 1858
## 13 7 3 Other 1 845
## 14 2 1 Technical Degree 1 508
## 15 1 2 Life Sciences 1 1314
## 16 20 2 Marketing 1 947
## 17 3 4 Medical 1 966
## 18 7 4 Medical 1 487
## 19 2 4 Medical 1 1755
## 20 1 4 Life Sciences 1 1903
## 21 9 2 Medical 1 699
## 22 2 1 Marketing 1 712
## 23 9 5 Medical 1 663
## 24 2 4 Other 1 1613
## 25 1 3 Life Sciences 1 969
## 26 5 3 Marketing 1 1267
## 27 14 3 Life Sciences 1 1582
## 28 9 4 Marketing 1 1157
## 29 24 4 Life Sciences 1 1968
## 30 19 4 Medical 1 791
## 31 9 2 Medical 1 195
## 32 21 3 Medical 1 1698
## 33 2 3 Technical Degree 1 363
## 34 1 4 Medical 1 1172
## 35 5 4 Life Sciences 1 1966
## 36 7 3 Life Sciences 1 359
## 37 10 3 Medical 1 1639
## 38 13 5 Marketing 1 1733
## 39 8 4 Life Sciences 1 1338
## 40 20 3 Life Sciences 1 1135
## 41 2 3 Medical 1 1824
## 42 2 2 Technical Degree 1 783
## 43 16 3 Medical 1 1674
## 44 9 2 Other 1 1595
## 45 1 2 Life Sciences 1 1270
## 46 9 2 Medical 1 1480
## 47 1 2 Life Sciences 1 1734
## 48 10 4 Marketing 1 1119
## 49 5 3 Marketing 1 614
## 50 9 3 Medical 1 218
## 51 1 1 Life Sciences 1 662
## 52 1 3 Medical 1 1423
## 53 2 1 Life Sciences 1 1246
## 54 4 2 Life Sciences 1 972
## 55 8 4 Life Sciences 1 98
## 56 9 4 Life Sciences 1 1772
## 57 19 3 Medical 1 752
## 58 3 1 Medical 1 1586
## 59 1 4 Medical 1 380
## 60 24 1 Life Sciences 1 1273
## 61 3 1 Life Sciences 1 967
## 62 10 4 Technical Degree 1 1312
## 63 2 2 Life Sciences 1 1996
## 64 14 3 Medical 1 1839
## 65 17 2 Life Sciences 1 1219
## 66 5 2 Life Sciences 1 21
## 67 6 4 Life Sciences 1 691
## 68 12 2 Other 1 1982
## 69 1 3 Medical 1 88
## 70 1 3 Life Sciences 1 391
## 71 1 3 Life Sciences 1 1999
## 72 5 3 Medical 1 1469
## 73 23 2 Life Sciences 1 261
## 74 12 4 Life Sciences 1 1158
## 75 5 3 Life Sciences 1 1319
## 76 1 2 Medical 1 57
## 77 1 3 Technical Degree 1 1535
## 78 1 4 Life Sciences 1 1602
## 79 6 3 Medical 1 302
## 80 2 1 Medical 1 1974
## 81 11 2 Medical 1 1033
## 82 27 4 Life Sciences 1 1728
## 83 6 4 Life Sciences 1 1997
## 84 6 3 Medical 1 474
## 85 2 4 Life Sciences 1 1294
## 86 2 3 Life Sciences 1 1032
## 87 14 4 Marketing 1 728
## 88 14 4 Other 1 1010
## 89 8 3 Life Sciences 1 56
## 90 2 4 Marketing 1 38
## 91 2 2 Life Sciences 1 556
## 92 23 1 Life Sciences 1 1165
## 93 2 2 Other 1 4
## 94 10 4 Medical 1 1587
## 95 11 3 Life Sciences 1 226
## 96 1 1 Life Sciences 1 387
## 97 3 3 Life Sciences 1 1527
## 98 2 2 Life Sciences 1 139
## 99 2 1 Life Sciences 1 1513
## 100 1 3 Life Sciences 1 1447
## 101 11 1 Life Sciences 1 1434
## 102 8 2 Life Sciences 1 1453
## 103 4 4 Marketing 1 523
## 104 4 3 Medical 1 705
## 105 2 3 Medical 1 1472
## 106 3 4 Medical 1 1177
## 107 1 1 Technical Degree 1 208
## 108 26 4 Human Resources 1 1973
## 109 21 2 Medical 1 1821
## 110 2 3 Technical Degree 1 2038
## 111 6 3 Life Sciences 1 1154
## 112 1 2 Life Sciences 1 976
## 113 7 4 Life Sciences 1 1118
## 114 2 4 Life Sciences 1 771
## 115 17 4 Life Sciences 1 1218
## 116 19 2 Medical 1 904
## 117 10 4 Life Sciences 1 1240
## 118 13 2 Other 1 2053
## 119 14 3 Life Sciences 1 227
## 120 2 4 Technical Degree 1 1383
## 121 8 3 Life Sciences 1 742
## 122 5 1 Medical 1 2021
## 123 9 3 Marketing 1 864
## 124 7 4 Marketing 1 709
## 125 2 2 Life Sciences 1 388
## 126 7 4 Life Sciences 1 1962
## 127 16 1 Life Sciences 1 33
## 128 25 2 Life Sciences 1 1888
## 129 6 3 Medical 1 1402
## 130 3 3 Technical Degree 1 1863
## 131 5 3 Medical 1 1669
## 132 11 4 Marketing 1 1757
## 133 28 4 Technical Degree 1 551
## 134 12 3 Medical 1 1654
## 135 10 4 Life Sciences 1 448
## 136 2 2 Medical 1 807
## 137 1 2 Life Sciences 1 816
## 138 17 3 Technical Degree 1 1013
## 139 6 3 Medical 1 932
## 140 3 3 Life Sciences 1 152
## 141 23 3 Life Sciences 1 1373
## 142 23 4 Life Sciences 1 1308
## 143 7 2 Medical 1 1007
## 144 6 4 Medical 1 378
## 145 2 1 Medical 1 1375
## 146 2 3 Life Sciences 1 469
## 147 14 3 Medical 1 252
## 148 8 4 Life Sciences 1 1560
## 149 24 3 Medical 1 1173
## 150 27 3 Medical 1 1622
## 151 13 4 Medical 1 650
## 152 10 3 Marketing 1 722
## 153 7 3 Life Sciences 1 420
## 154 5 3 Life Sciences 1 1814
## 155 10 3 Life Sciences 1 934
## 156 25 2 Technical Degree 1 475
## 157 2 2 Marketing 1 1986
## 158 2 3 Life Sciences 1 1127
## 159 27 3 Life Sciences 1 1126
## 160 26 5 Medical 1 1242
## 161 1 1 Life Sciences 1 104
## 162 24 2 Technical Degree 1 1082
## 163 8 4 Marketing 1 677
## 164 17 2 Life Sciences 1 347
## 165 16 3 Marketing 1 406
## 166 2 3 Medical 1 922
## 167 22 4 Other 1 1655
## 168 1 5 Medical 1 612
## 169 6 2 Technical Degree 1 630
## 170 28 4 Life Sciences 1 1120
## 171 27 5 Marketing 1 747
## 172 14 4 Technical Degree 1 1934
## 173 18 1 Medical 1 624
## 174 10 5 Marketing 1 1268
## 175 2 2 Medical 1 981
## 176 1 1 Technical Degree 1 1131
## 177 2 3 Medical 1 787
## 178 2 3 Life Sciences 1 1053
## 179 8 3 Marketing 1 207
## 180 1 4 Life Sciences 1 230
## 181 2 3 Life Sciences 1 1182
## 182 2 2 Life Sciences 1 1355
## 183 28 3 Medical 1 171
## 184 6 3 Life Sciences 1 1525
## 185 8 1 Life Sciences 1 602
## 186 9 3 Medical 1 377
## 187 2 1 Life Sciences 1 1653
## 188 2 4 Life Sciences 1 1676
## 189 4 1 Life Sciences 1 385
## 190 4 3 Medical 1 129
## 191 28 2 Medical 1 441
## 192 7 4 Marketing 1 1833
## 193 18 3 Medical 1 550
## 194 2 5 Marketing 1 595
## 195 2 1 Medical 1 1407
## 196 1 3 Life Sciences 1 353
## 197 9 4 Life Sciences 1 116
## 198 8 4 Technical Degree 1 1138
## 199 7 4 Medical 1 36
## 200 17 2 Other 1 643
## 201 24 3 Life Sciences 1 986
## 202 1 3 Life Sciences 1 96
## 203 4 3 Life Sciences 1 830
## 204 1 2 Life Sciences 1 741
## 205 4 2 Life Sciences 1 330
## 206 9 2 Life Sciences 1 913
## 207 9 3 Marketing 1 1188
## 208 29 1 Medical 1 282
## 209 5 3 Technical Degree 1 197
## 210 9 1 Life Sciences 1 176
## 211 28 4 Life Sciences 1 2034
## 212 5 2 Marketing 1 1029
## 213 10 2 Life Sciences 1 715
## 214 1 2 Life Sciences 1 827
## 215 3 4 Medical 1 700
## 216 2 3 Medical 1 1474
## 217 10 3 Medical 1 634
## 218 22 3 Medical 1 1900
## 219 18 3 Life Sciences 1 194
## 220 4 2 Life Sciences 1 1275
## 221 2 3 Other 1 786
## 222 26 4 Life Sciences 1 684
## 223 16 3 Life Sciences 1 1681
## 224 1 3 Life Sciences 1 1506
## 225 9 2 Life Sciences 1 1940
## 226 1 2 Medical 1 1989
## 227 4 2 Other 1 53
## 228 5 3 Life Sciences 1 284
## 229 3 2 Other 1 128
## 230 6 1 Life Sciences 1 1661
## 231 2 2 Other 1 1635
## 232 2 3 Marketing 1 49
## 233 9 3 Life Sciences 1 1716
## 234 3 3 Marketing 1 303
## 235 26 2 Life Sciences 1 158
## 236 1 4 Life Sciences 1 970
## 237 2 3 Life Sciences 1 2031
## 238 9 4 Life Sciences 1 679
## 239 2 3 Human Resources 1 1987
## 240 17 5 Life Sciences 1 1656
## 241 24 3 Medical 1 605
## 242 25 3 Medical 1 1306
## 243 2 3 Life Sciences 1 94
## 244 9 2 Life Sciences 1 1439
## 245 8 1 Medical 1 1150
## 246 7 1 Medical 1 912
## 247 7 4 Medical 1 462
## 248 1 4 Medical 1 2013
## 249 22 3 Life Sciences 1 1392
## 250 2 5 Life Sciences 1 625
## 251 1 2 Medical 1 1994
## 252 8 4 Technical Degree 1 990
## 253 2 3 Life Sciences 1 834
## 254 18 5 Human Resources 1 1842
## 255 8 1 Medical 1 1468
## 256 9 3 Life Sciences 1 1813
## 257 5 3 Marketing 1 399
## 258 7 4 Marketing 1 1428
## 259 4 3 Life Sciences 1 1882
## 260 2 1 Other 1 1992
## 261 2 3 Life Sciences 1 1379
## 262 1 4 Technical Degree 1 1522
## 263 14 3 Medical 1 325
## 264 20 3 Technical Degree 1 974
## 265 18 1 Life Sciences 1 150
## 266 16 3 Medical 1 14
## 267 15 3 Medical 1 1485
## 268 2 4 Life Sciences 1 1692
## 269 7 2 Life Sciences 1 1970
## 270 20 3 Other 1 1084
## 271 2 4 Life Sciences 1 1845
## 272 3 3 Life Sciences 1 1658
## 273 23 1 Medical 1 1864
## 274 16 4 Marketing 1 1436
## 275 14 4 Medical 1 254
## 276 4 4 Technical Degree 1 1191
## 277 11 3 Medical 1 511
## 278 10 4 Life Sciences 1 430
## 279 5 3 Marketing 1 142
## 280 4 4 Life Sciences 1 1501
## 281 2 3 Medical 1 1706
## 282 6 3 Medical 1 957
## 283 1 3 Life Sciences 1 1822
## 284 7 3 Marketing 1 438
## 285 1 3 Human Resources 1 1152
## 286 28 4 Life Sciences 1 1549
## 287 7 1 Life Sciences 1 1878
## 288 19 2 Medical 1 18
## 289 11 2 Technical Degree 1 154
## 290 8 4 Life Sciences 1 805
## 291 1 4 Medical 1 996
## 292 24 4 Life Sciences 1 419
## 293 9 3 Medical 1 260
## 294 1 1 Medical 1 2000
## 295 6 2 Medical 1 1550
## 296 11 4 Medical 1 2003
## 297 2 1 Life Sciences 1 256
## 298 7 3 Life Sciences 1 147
## 299 9 2 Medical 1 991
## 300 2 4 Medical 1 440
## 301 5 2 Life Sciences 1 889
## 302 18 5 Life Sciences 1 74
## 303 22 3 Technical Degree 1 1694
## 304 9 4 Medical 1 2008
## 305 2 3 Technical Degree 1 977
## 306 4 1 Life Sciences 1 888
## 307 9 3 Life Sciences 1 1030
## 308 3 4 Life Sciences 1 1115
## 309 18 4 Medical 1 1034
## 310 8 3 Life Sciences 1 707
## 311 1 4 Life Sciences 1 1580
## 312 6 3 Life Sciences 1 601
## 313 3 3 Life Sciences 1 1537
## 314 7 4 Medical 1 211
## 315 16 4 Marketing 1 732
## 316 4 2 Life Sciences 1 1003
## 317 2 4 Marketing 1 216
## 318 1 2 Life Sciences 1 1981
## 319 21 4 Life Sciences 1 1390
## 320 25 3 Life Sciences 1 1269
## 321 1 3 Life Sciences 1 951
## 322 1 5 Life Sciences 1 683
## 323 5 4 Life Sciences 1 861
## 324 8 4 Life Sciences 1 1080
## 325 1 1 Life Sciences 1 1026
## 326 4 3 Life Sciences 1 933
## 327 7 3 Medical 1 1608
## 328 18 4 Life Sciences 1 1998
## 329 8 3 Medical 1 1937
## 330 10 3 Human Resources 1 1408
## 331 1 3 Life Sciences 1 1677
## 332 4 4 Medical 1 291
## 333 1 2 Medical 1 1792
## 334 1 2 Life Sciences 1 725
## 335 2 4 Human Resources 1 140
## 336 29 4 Medical 1 1101
## 337 11 2 Marketing 1 1137
## 338 3 1 Life Sciences 1 1103
## 339 1 4 Other 1 1113
## 340 2 4 Life Sciences 1 54
## 341 5 4 Life Sciences 1 51
## 342 2 3 Life Sciences 1 1296
## 343 5 3 Life Sciences 1 1099
## 344 3 3 Medical 1 680
## 345 29 4 Life Sciences 1 1211
## 346 15 4 Marketing 1 1975
## 347 2 2 Life Sciences 1 1140
## 348 1 3 Life Sciences 1 384
## 349 17 3 Life Sciences 1 1206
## 350 9 3 Medical 1 762
## 351 6 3 Medical 1 1911
## 352 7 3 Technical Degree 1 416
## 353 26 2 Medical 1 1180
## 354 8 2 Life Sciences 1 1552
## 355 4 1 Marketing 1 1815
## 356 3 3 Other 1 1478
## 357 6 3 Other 1 164
## 358 25 5 Technical Degree 1 565
## 359 1 3 Medical 1 78
## 360 6 3 Life Sciences 1 373
## 361 1 4 Life Sciences 1 259
## 362 24 3 Technical Degree 1 1928
## 363 2 1 Marketing 1 1038
## 364 2 2 Medical 1 352
## 365 2 2 Medical 1 1336
## 366 6 3 Life Sciences 1 532
## 367 19 3 Medical 1 1285
## 368 9 2 Medical 1 1548
## 369 10 3 Technical Degree 1 1592
## 370 2 4 Medical 1 439
## 371 1 1 Life Sciences 1 1011
## 372 22 4 Other 1 567
## 373 7 3 Life Sciences 1 425
## 374 10 3 Medical 1 1640
## 375 9 1 Life Sciences 1 1680
## 376 22 5 Medical 1 1539
## 377 16 4 Life Sciences 1 1042
## 378 12 4 Marketing 1 1943
## 379 15 1 Life Sciences 1 1202
## 380 22 3 Life Sciences 1 1004
## 381 5 5 Life Sciences 1 447
## 382 25 1 Life Sciences 1 177
## 383 7 3 Marketing 1 1466
## 384 2 1 Technical Degree 1 113
## 385 4 4 Life Sciences 1 1081
## 386 1 3 Technical Degree 1 950
## 387 1 3 Marketing 1 314
## 388 19 3 Technical Degree 1 611
## 389 2 4 Life Sciences 1 1710
## 390 1 1 Technical Degree 1 478
## 391 8 2 Life Sciences 1 808
## 392 23 3 Marketing 1 72
## 393 3 2 Medical 1 1948
## 394 28 3 Marketing 1 573
## 395 2 1 Medical 1 875
## 396 2 4 Life Sciences 1 426
## 397 2 3 Life Sciences 1 575
## 398 9 4 Technical Degree 1 1467
## 399 1 4 Life Sciences 1 2026
## 400 2 1 Medical 1 1496
## 401 2 3 Life Sciences 1 548
## 402 21 2 Medical 1 270
## 403 9 4 Life Sciences 1 1856
## 404 5 4 Life Sciences 1 1651
## 405 27 1 Medical 1 856
## 406 6 4 Other 1 661
## 407 29 4 Marketing 1 1784
## 408 6 4 Life Sciences 1 1221
## 409 2 4 Life Sciences 1 23
## 410 14 2 Life Sciences 1 843
## 411 8 3 Life Sciences 1 878
## 412 6 3 Marketing 1 1708
## 413 19 2 Life Sciences 1 61
## 414 10 4 Marketing 1 1853
## 415 6 2 Marketing 1 555
## 416 2 2 Medical 1 1804
## 417 2 3 Medical 1 571
## 418 18 4 Life Sciences 1 407
## 419 1 3 Life Sciences 1 1196
## 420 3 4 Medical 1 564
## 421 1 2 Medical 1 110
## 422 25 5 Medical 1 529
## 423 6 4 Life Sciences 1 163
## 424 1 3 Life Sciences 1 1368
## 425 26 3 Life Sciences 1 1387
## 426 25 3 Medical 1 1076
## 427 7 3 Technical Degree 1 1482
## 428 3 2 Medical 1 379
## 429 1 3 Life Sciences 1 331
## 430 2 4 Life Sciences 1 339
## 431 2 3 Life Sciences 1 437
## 432 16 2 Life Sciences 1 1340
## 433 28 2 Life Sciences 1 1420
## 434 4 3 Technical Degree 1 1762
## 435 10 4 Marketing 1 954
## 436 8 4 Marketing 1 458
## 437 2 4 Medical 1 828
## 438 1 3 Medical 1 1952
## 439 3 2 Marketing 1 47
## 440 1 4 Life Sciences 1 724
## 441 2 2 Life Sciences 1 1235
## 442 9 4 Medical 1 1709
## 443 2 4 Life Sciences 1 364
## 444 1 3 Life Sciences 1 1683
## 445 2 4 Medical 1 1789
## 446 1 3 Technical Degree 1 1438
## 447 1 3 Life Sciences 1 1668
## 448 13 3 Medical 1 1803
## 449 29 5 Life Sciences 1 79
## 450 26 3 Marketing 1 1612
## 451 15 2 Medical 1 2009
## 452 20 3 Life Sciences 1 1475
## 453 27 3 Life Sciences 1 1797
## 454 10 4 Marketing 1 1924
## 455 1 4 Life Sciences 1 664
## 456 7 4 Medical 1 1740
## 457 5 4 Life Sciences 1 1673
## 458 21 4 Marketing 1 120
## 459 1 2 Life Sciences 1 1441
## 460 4 4 Life Sciences 1 1435
## 461 5 2 Other 1 591
## 462 7 3 Life Sciences 1 1659
## 463 12 3 Marketing 1 174
## 464 24 1 Technical Degree 1 1736
## 465 17 3 Technical Degree 1 1767
## 466 2 3 Life Sciences 1 24
## 467 2 4 Life Sciences 1 1556
## 468 6 3 Life Sciences 1 97
## 469 29 2 Medical 1 1037
## 470 13 2 Medical 1 250
## 471 2 4 Technical Degree 1 1931
## 472 24 2 Life Sciences 1 1868
## 473 6 4 Other 1 101
## 474 29 3 Medical 1 192
## 475 15 2 Life Sciences 1 1102
## 476 5 4 Marketing 1 62
## 477 16 4 Marketing 1 868
## 478 29 2 Medical 1 618
## 479 8 4 Other 1 1409
## 480 10 3 Life Sciences 1 2017
## 481 1 3 Life Sciences 1 1954
## 482 11 4 Life Sciences 1 895
## 483 22 4 Other 1 1932
## 484 8 3 Life Sciences 1 241
## 485 23 4 Medical 1 165
## 486 1 2 Life Sciences 1 1
## 487 9 3 Medical 1 1876
## 488 26 1 Life Sciences 1 16
## 489 1 2 Life Sciences 1 64
## 490 8 2 Medical 1 757
## 491 10 4 Life Sciences 1 396
## 492 28 3 Life Sciences 1 1317
## 493 10 3 Medical 1 1650
## 494 16 3 Life Sciences 1 1529
## 495 10 4 Technical Degree 1 1880
## 496 26 4 Marketing 1 851
## 497 10 2 Life Sciences 1 544
## 498 9 3 Medical 1 403
## 499 27 3 Medical 1 13
## 500 21 4 Life Sciences 1 1929
## 501 7 4 Medical 1 1360
## 502 24 3 Life Sciences 1 19
## 503 7 2 Medical 1 1691
## 504 21 4 Life Sciences 1 20
## 505 2 4 Medical 1 1443
## 506 5 2 Life Sciences 1 1555
## 507 5 3 Marketing 1 485
## 508 2 3 Marketing 1 1391
## 509 4 4 Marketing 1 311
## 510 12 3 Technical Degree 1 58
## 511 10 2 Life Sciences 1 2041
## 512 25 2 Life Sciences 1 1397
## 513 10 3 Life Sciences 1 1720
## 514 1 2 Life Sciences 1 73
## 515 9 2 Medical 1 484
## 516 2 3 Medical 1 408
## 517 19 2 Marketing 1 952
## 518 12 3 Medical 1 1768
## 519 6 3 Technical Degree 1 1311
## 520 24 2 Life Sciences 1 1907
## 521 16 4 Life Sciences 1 838
## 522 24 3 Medical 1 1604
## 523 7 3 Life Sciences 1 86
## 524 18 4 Life Sciences 1 638
## 525 3 3 Life Sciences 1 309
## 526 2 3 Marketing 1 1050
## 527 4 2 Life Sciences 1 240
## 528 11 2 Medical 1 1251
## 529 1 3 Medical 1 105
## 530 14 4 Life Sciences 1 161
## 531 17 1 Life Sciences 1 1088
## 532 1 4 Life Sciences 1 1585
## 533 23 2 Life Sciences 1 824
## 534 15 4 Medical 1 1955
## 535 8 4 Other 1 454
## 536 7 3 Medical 1 262
## 537 2 2 Marketing 1 1125
## 538 2 1 Technical Degree 1 470
## 539 1 1 Technical Degree 1 554
## 540 4 4 Marketing 1 1171
## 541 7 4 Life Sciences 1 1224
## 542 8 4 Life Sciences 1 1798
## 543 3 3 Medical 1 224
## 544 2 4 Life Sciences 1 271
## 545 2 4 Medical 1 804
## 546 19 3 Life Sciences 1 1701
## 547 8 2 Other 1 944
## 548 16 4 Medical 1 832
## 549 25 2 Life Sciences 1 421
## 550 24 4 Medical 1 1049
## 551 1 3 Human Resources 1 734
## 552 8 2 Medical 1 869
## 553 2 1 Human Resources 1 1890
## 554 20 4 Medical 1 945
## 555 9 5 Life Sciences 1 287
## 556 2 3 Marketing 1 656
## 557 8 4 Life Sciences 1 578
## 558 1 2 Life Sciences 1 649
## 559 29 3 Life Sciences 1 836
## 560 1 3 Life Sciences 1 476
## 561 3 2 Medical 1 238
## 562 15 4 Life Sciences 1 1837
## 563 16 4 Technical Degree 1 1001
## 564 10 3 Medical 1 1979
## 565 1 3 Life Sciences 1 806
## 566 1 3 Medical 1 2020
## 567 2 1 Technical Degree 1 362
## 568 1 3 Life Sciences 1 1562
## 569 14 2 Medical 1 936
## 570 24 3 Life Sciences 1 1005
## 571 8 3 Marketing 1 1909
## 572 18 1 Other 1 923
## 573 1 2 Life Sciences 1 1927
## 574 8 2 Technical Degree 1 1823
## 575 28 2 Marketing 1 641
## 576 1 4 Life Sciences 1 77
## 577 1 3 Life Sciences 1 1961
## 578 5 3 Life Sciences 1 1471
## 579 4 3 Medical 1 1633
## 580 7 3 Life Sciences 1 1260
## 581 19 1 Medical 1 1358
## 582 23 5 Life Sciences 1 468
## 583 18 3 Medical 1 1766
## 584 2 4 Marketing 1 846
## 585 10 4 Other 1 40
## 586 19 2 Medical 1 281
## 587 6 3 Medical 1 107
## 588 9 4 Life Sciences 1 27
## 589 11 3 Medical 1 1411
## 590 23 4 Medical 1 75
## 591 26 2 Other 1 1605
## 592 24 4 Medical 1 1489
## 593 1 3 Technical Degree 1 1486
## 594 25 4 Life Sciences 1 1617
## 595 15 3 Life Sciences 1 1628
## 596 1 3 Medical 1 855
## 597 25 3 Technical Degree 1 899
## 598 2 3 Medical 1 521
## 599 4 3 Life Sciences 1 2064
## 600 1 3 Medical 1 45
## 601 13 2 Life Sciences 1 1495
## 602 1 4 Technical Degree 1 1574
## 603 8 2 Life Sciences 1 1015
## 604 6 1 Medical 1 1192
## 605 9 3 Marketing 1 1752
## 606 7 3 Life Sciences 1 730
## 607 1 1 Life Sciences 1 91
## 608 7 2 Medical 1 382
## 609 7 3 Other 1 1417
## 610 8 1 Life Sciences 1 1044
## 611 1 3 Medical 1 1369
## 612 2 4 Other 1 616
## 613 2 2 Life Sciences 1 328
## 614 21 3 Other 1 959
## 615 8 2 Other 1 982
## 616 5 2 Medical 1 1696
## 617 4 4 Medical 1 1502
## 618 1 5 Marketing 1 68
## 619 6 1 Medical 1 2062
## 620 3 3 Life Sciences 1 704
## 621 6 3 Life Sciences 1 137
## 622 16 4 Medical 1 987
## 623 1 4 Life Sciences 1 797
## 624 26 4 Life Sciences 1 2040
## 625 2 2 Medical 1 1504
## 626 4 2 Life Sciences 1 1259
## 627 4 1 Medical 1 1445
## 628 15 2 Life Sciences 1 461
## 629 2 1 Life Sciences 1 1096
## 630 9 3 Medical 1 717
## 631 2 4 Technical Degree 1 1873
## 632 1 3 Marketing 1 1950
## 633 3 4 Life Sciences 1 1036
## 634 3 2 Life Sciences 1 155
## 635 7 3 Life Sciences 1 451
## 636 4 4 Other 1 1185
## 637 2 2 Medical 1 1109
## 638 13 4 Medical 1 1951
## 639 23 3 Medical 1 639
## 640 2 1 Marketing 1 667
## 641 24 1 Life Sciences 1 11
## 642 12 3 Life Sciences 1 1829
## 643 2 1 Medical 1 1074
## 644 16 4 Technical Degree 1 1905
## 645 5 2 Life Sciences 1 1210
## 646 4 4 Marketing 1 215
## 647 8 1 Medical 1 1156
## 648 17 4 Medical 1 1718
## 649 1 4 Marketing 1 100
## 650 7 3 Life Sciences 1 1649
## 651 1 3 Medical 1 1564
## 652 7 4 Marketing 1 1233
## 653 9 4 Medical 1 1166
## 654 29 1 Medical 1 473
## 655 4 1 Technical Degree 1 593
## 656 11 2 Medical 1 390
## 657 8 4 Life Sciences 1 296
## 658 11 4 Medical 1 1520
## 659 6 3 Medical 1 466
## 660 11 3 Life Sciences 1 85
## 661 24 4 Life Sciences 1 772
## 662 2 4 Life Sciences 1 579
## 663 2 3 Life Sciences 1 1732
## 664 10 3 Other 1 1028
## 665 23 4 Marketing 1 60
## 666 1 3 Life Sciences 1 1753
## 667 1 1 Medical 1 312
## 668 10 1 Medical 1 584
## 669 7 2 Life Sciences 1 1309
## 670 3 3 Life Sciences 1 1250
## 671 7 4 Medical 1 102
## 672 2 4 Medical 1 1670
## 673 7 3 Life Sciences 1 1507
## 674 25 4 Life Sciences 1 881
## 675 8 3 Medical 1 1647
## 676 4 2 Marketing 1 1280
## 677 1 3 Other 1 823
## 678 11 3 Technical Degree 1 1985
## 679 4 2 Life Sciences 1 2025
## 680 7 4 Life Sciences 1 941
## 681 4 1 Marketing 1 885
## 682 21 3 Medical 1 525
## 683 26 4 Life Sciences 1 1682
## 684 24 2 Life Sciences 1 223
## 685 21 3 Medical 1 221
## 686 9 1 Life Sciences 1 581
## 687 14 1 Other 1 1421
## 688 4 4 Medical 1 305
## 689 2 3 Life Sciences 1 243
## 690 2 3 Human Resources 1 1805
## 691 10 4 Human Resources 1 1563
## 692 29 4 Life Sciences 1 376
## 693 2 4 Other 1 477
## 694 4 3 Technical Degree 1 514
## 695 1 4 Medical 1 1700
## 696 2 4 Life Sciences 1 925
## 697 4 5 Medical 1 1644
## 698 5 2 Life Sciences 1 304
## 699 3 2 Medical 1 1624
## 700 15 2 Life Sciences 1 1217
## 701 6 1 Medical 1 1865
## 702 9 1 Life Sciences 1 1163
## 703 8 2 Marketing 1 1243
## 704 20 2 Medical 1 1818
## 705 6 2 Medical 1 321
## 706 10 2 Life Sciences 1 599
## 707 7 4 Medical 1 1830
## 708 8 2 Medical 1 1461
## 709 6 2 Other 1 1782
## 710 2 4 Life Sciences 1 905
## 711 17 4 Medical 1 1321
## 712 29 3 Marketing 1 568
## 713 2 2 Technical Degree 1 1258
## 714 3 4 Medical 1 481
## 715 8 4 Life Sciences 1 789
## 716 22 1 Human Resources 1 1714
## 717 10 3 Marketing 1 1179
## 718 10 3 Other 1 1097
## 719 12 4 Other 1 1667
## 720 3 3 Medical 1 1121
## 721 3 3 Other 1 689
## 722 19 3 Life Sciences 1 1631
## 723 1 4 Other 1 1431
## 724 12 5 Medical 1 1073
## 725 8 3 Life Sciences 1 1860
## 726 1 3 Life Sciences 1 350
## 727 21 2 Medical 1 900
## 728 10 4 Medical 1 277
## 729 24 3 Technical Degree 1 622
## 730 2 1 Technical Degree 1 169
## 731 8 3 Life Sciences 1 920
## 732 3 2 Medical 1 445
## 733 22 3 Human Resources 1 1944
## 734 11 4 Other 1 631
## 735 7 4 Medical 1 1577
## 736 2 2 Medical 1 1898
## 737 24 1 Marketing 1 2056
## 738 3 3 Life Sciences 1 1254
## 739 18 3 Medical 1 975
## 740 25 2 Other 1 652
## 741 28 3 Life Sciences 1 183
## 742 7 3 Life Sciences 1 613
## 743 13 3 Medical 1 1543
## 744 4 1 Medical 1 1735
## 745 8 2 Other 1 2018
## 746 21 2 Technical Degree 1 1551
## 747 13 3 Human Resources 1 1844
## 748 1 3 Medical 1 1184
## 749 29 1 Medical 1 1725
## 750 2 3 Life Sciences 1 242
## 751 9 3 Marketing 1 1077
## 752 1 3 Life Sciences 1 1331
## 753 20 5 Medical 1 1606
## 754 10 3 Life Sciences 1 1869
## 755 2 4 Technical Degree 1 126
## 756 24 3 Medical 1 744
## 757 21 1 Life Sciences 1 942
## 758 5 4 Technical Degree 1 1473
## 759 4 2 Medical 1 1687
## 760 2 3 Marketing 1 1277
## 761 10 3 Life Sciences 1 994
## 762 2 2 Other 1 820
## 763 10 2 Medical 1 1329
## 764 1 3 Life Sciences 1 1040
## 765 3 2 Human Resources 1 847
## 766 5 5 Medical 1 1611
## 767 7 2 Technical Degree 1 1085
## 768 28 3 Other 1 615
## 769 2 4 Technical Degree 1 1228
## 770 9 4 Life Sciences 1 1117
## 771 10 3 Marketing 1 446
## 772 1 2 Marketing 1 244
## 773 2 4 Technical Degree 1 343
## 774 9 3 Medical 1 90
## 775 2 3 Life Sciences 1 1547
## 776 10 1 Medical 1 784
## 777 1 3 Life Sciences 1 1499
## 778 2 1 Life Sciences 1 1190
## 779 7 3 Medical 1 1693
## 780 1 4 Medical 1 2027
## 781 20 2 Marketing 1 248
## 782 2 4 Technical Degree 1 721
## 783 3 2 Human Resources 1 910
## 784 25 3 Medical 1 1220
## 785 2 4 Marketing 1 1731
## 786 8 5 Life Sciences 1 1430
## 787 3 3 Technical Degree 1 1786
## 788 8 4 Medical 1 433
## 789 2 3 Medical 1 1770
## 790 1 3 Medical 1 1303
## 791 3 2 Medical 1 1509
## 792 27 2 Medical 1 247
## 793 2 2 Medical 1 1638
## 794 8 3 Technical Degree 1 83
## 795 18 4 Life Sciences 1 275
## 796 3 3 Life Sciences 1 702
## 797 20 2 Medical 1 372
## 798 8 1 Medical 1 1783
## 799 10 3 Medical 1 1248
## 800 3 2 Life Sciences 1 1664
## 801 1 3 Life Sciences 1 52
## 802 2 1 Life Sciences 1 604
## 803 10 1 Medical 1 429
## 804 4 3 Technical Degree 1 1100
## 805 23 3 Medical 1 132
## 806 10 3 Life Sciences 1 1790
## 807 18 1 Life Sciences 1 1399
## 808 19 1 Medical 1 217
## 809 16 1 Life Sciences 1 1729
## 810 17 3 Technical Degree 1 233
## 811 9 3 Medical 1 239
## 812 1 3 Technical Degree 1 1415
## 813 10 4 Marketing 1 507
## 814 26 4 Life Sciences 1 1625
## 815 9 3 Marketing 1 893
## 816 9 3 Medical 1 1238
## 817 2 3 Medical 1 833
## 818 7 3 Medical 1 817
## 819 2 1 Medical 1 198
## 820 13 2 Marketing 1 1933
## 821 5 4 Other 1 1607
## 822 20 2 Marketing 1 349
## 823 28 3 Marketing 1 2035
## 824 15 3 Medical 1 1160
## 825 12 4 Life Sciences 1 1614
## 826 1 4 Medical 1 1069
## 827 16 4 Marketing 1 1761
## 828 2 3 Marketing 1 1281
## 829 2 2 Medical 1 1760
## 830 3 3 Medical 1 644
## 831 23 2 Life Sciences 1 1002
## 832 22 1 Marketing 1 167
## 833 19 4 Medical 1 1216
## 834 9 2 Life Sciences 1 1193
## 835 8 1 Medical 1 1278
## 836 9 4 Medical 1 626
## 837 4 1 Life Sciences 1 1394
## 838 21 4 Life Sciences 1 621
## 839 4 3 Life Sciences 1 1827
## 840 10 3 Life Sciences 1 1867
## 841 3 3 Life Sciences 1 405
## 842 17 3 Other 1 1419
## 843 25 4 Medical 1 867
## 844 9 3 Life Sciences 1 1344
## 845 3 2 Life Sciences 1 1779
## 846 17 2 Medical 1 536
## 847 3 1 Medical 1 201
## 848 1 3 Medical 1 417
## 849 22 2 Marketing 1 492
## 850 6 3 Other 1 1918
## 851 20 3 Life Sciences 1 175
## 852 9 2 Medical 1 41
## 853 15 2 Life Sciences 1 15
## 854 16 2 Medical 1 412
## 855 16 2 Other 1 1886
## 856 7 1 Life Sciences 1 1492
## 857 3 3 Technical Degree 1 297
## 858 7 2 Life Sciences 1 442
## 859 9 4 Life Sciences 1 200
## 860 15 3 Medical 1 1295
## 861 6 2 Medical 1 1297
## 862 4 4 Marketing 1 1293
## 863 19 3 Marketing 1 502
## 864 3 3 Medical 1 746
## 865 29 3 Technical Degree 1 1465
## 866 4 3 Life Sciences 1 1363
## 867 26 4 Marketing 1 333
## 868 14 3 Medical 1 1503
## 869 7 3 Medical 1 1195
## 870 2 3 Medical 1 269
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## 1 2 Male 73 3 2
## 2 3 Male 44 2 5
## 3 3 Male 60 3 3
## 4 3 Female 48 3 3
## 5 1 Female 32 3 1
## 6 4 Male 32 3 3
## 7 2 Male 90 4 1
## 8 4 Female 88 2 2
## 9 3 Female 87 3 1
## 10 4 Male 92 2 2
## 11 1 Female 81 2 5
## 12 3 Male 43 3 1
## 13 3 Male 59 3 3
## 14 3 Male 72 3 1
## 15 4 Female 44 3 1
## 16 4 Female 45 3 2
## 17 3 Female 93 3 2
## 18 3 Female 30 3 2
## 19 4 Male 97 4 1
## 20 2 Male 78 4 2
## 21 2 Male 48 2 2
## 22 2 Male 56 4 2
## 23 4 Male 72 3 2
## 24 4 Male 54 3 2
## 25 2 Female 42 2 2
## 26 2 Male 88 3 5
## 27 3 Male 80 3 2
## 28 1 Female 77 3 2
## 29 1 Male 66 3 3
## 30 4 Male 41 3 1
## 31 4 Male 35 1 2
## 32 2 Male 79 4 1
## 33 3 Female 75 1 4
## 34 4 Male 58 2 1
## 35 4 Male 56 2 2
## 36 2 Male 100 4 1
## 37 4 Male 55 2 3
## 38 2 Male 96 2 2
## 39 4 Male 99 3 5
## 40 3 Male 67 4 1
## 41 2 Male 52 3 4
## 42 2 Male 46 1 2
## 43 4 Female 74 3 1
## 44 4 Male 93 2 5
## 45 4 Male 47 3 1
## 46 1 Female 74 3 1
## 47 1 Male 34 1 2
## 48 3 Male 73 2 3
## 49 2 Male 69 3 1
## 50 4 Male 57 3 1
## 51 3 Female 43 3 1
## 52 4 Female 76 3 5
## 53 1 Female 72 4 1
## 54 3 Male 57 3 2
## 55 3 Female 61 3 2
## 56 3 Male 94 3 1
## 57 3 Male 57 4 1
## 58 2 Male 87 3 1
## 59 1 Female 80 3 3
## 60 3 Male 73 1 1
## 61 3 Male 51 2 3
## 62 4 Female 63 3 3
## 63 1 Male 54 3 1
## 64 2 Female 33 3 1
## 65 4 Female 97 3 1
## 66 1 Male 80 4 1
## 67 2 Male 82 1 2
## 68 4 Male 78 3 1
## 69 2 Male 79 3 1
## 70 4 Female 42 3 1
## 71 4 Male 76 3 1
## 72 4 Male 84 3 2
## 73 2 Male 50 2 2
## 74 2 Male 46 3 1
## 75 2 Male 64 3 3
## 76 3 Female 58 3 2
## 77 4 Male 64 2 3
## 78 4 Male 56 4 4
## 79 4 Female 57 2 3
## 80 4 Female 59 1 1
## 81 1 Female 61 1 2
## 82 4 Male 49 3 2
## 83 1 Male 72 2 2
## 84 3 Male 51 4 2
## 85 3 Female 53 3 2
## 86 3 Female 69 2 4
## 87 4 Male 42 3 2
## 88 3 Male 39 2 1
## 89 4 Male 37 3 3
## 90 2 Female 83 3 5
## 91 4 Male 42 3 1
## 92 4 Female 45 2 3
## 93 4 Male 92 2 1
## 94 1 Female 51 3 2
## 95 3 Female 53 3 5
## 96 2 Male 99 3 2
## 97 3 Female 51 3 4
## 98 3 Male 100 2 2
## 99 4 Female 97 3 1
## 100 4 Female 86 2 1
## 101 2 Male 91 3 1
## 102 1 Male 31 3 3
## 103 3 Female 72 3 2
## 104 1 Male 58 4 1
## 105 4 Male 39 4 4
## 106 1 Male 82 4 1
## 107 4 Male 41 3 2
## 108 3 Male 71 4 5
## 109 4 Female 66 3 2
## 110 4 Male 78 3 1
## 111 3 Male 39 2 1
## 112 4 Male 70 3 4
## 113 2 Male 87 3 3
## 114 4 Female 61 3 2
## 115 3 Male 94 3 2
## 116 1 Male 32 3 3
## 117 3 Male 57 3 2
## 118 4 Male 46 2 2
## 119 1 Male 56 3 1
## 120 3 Female 98 3 2
## 121 1 Female 63 4 3
## 122 3 Male 58 3 1
## 123 4 Male 74 3 3
## 124 4 Female 46 2 2
## 125 2 Male 44 3 2
## 126 3 Female 55 3 2
## 127 2 Female 72 1 1
## 128 2 Female 93 2 2
## 129 1 Female 73 2 2
## 130 1 Female 45 4 4
## 131 1 Male 43 2 2
## 132 4 Female 80 3 2
## 133 4 Female 88 2 2
## 134 4 Male 66 3 2
## 135 3 Female 82 2 2
## 136 3 Female 38 4 2
## 137 2 Female 36 2 1
## 138 3 Female 56 3 3
## 139 4 Male 70 3 1
## 140 3 Male 87 3 3
## 141 4 Male 68 3 4
## 142 1 Male 88 3 1
## 143 4 Male 75 3 3
## 144 3 Male 98 3 2
## 145 2 Female 89 4 2
## 146 4 Male 61 3 2
## 147 4 Female 72 3 1
## 148 1 Male 46 3 2
## 149 4 Male 49 3 1
## 150 2 Female 39 1 2
## 151 2 Male 46 3 2
## 152 4 Male 55 3 2
## 153 4 Male 91 2 2
## 154 2 Male 85 4 2
## 155 2 Male 83 3 1
## 156 4 Female 85 3 2
## 157 2 Female 92 3 2
## 158 1 Male 84 3 4
## 159 3 Female 83 3 3
## 160 1 Female 60 3 3
## 161 4 Male 55 2 2
## 162 2 Male 72 2 3
## 163 3 Male 39 3 2
## 164 4 Female 82 4 2
## 165 3 Male 96 3 3
## 166 3 Female 49 2 1
## 167 1 Female 72 3 4
## 168 1 Female 95 4 4
## 169 4 Male 78 3 2
## 170 3 Female 93 3 1
## 171 3 Male 99 3 2
## 172 3 Male 64 3 2
## 173 1 Female 86 3 3
## 174 4 Male 82 4 3
## 175 3 Male 45 3 4
## 176 4 Female 70 2 1
## 177 4 Male 78 3 5
## 178 1 Male 57 3 1
## 179 2 Female 43 3 3
## 180 1 Female 59 2 2
## 181 3 Male 44 2 3
## 182 2 Female 31 3 2
## 183 2 Female 72 4 1
## 184 2 Female 32 3 3
## 185 3 Female 48 3 1
## 186 4 Male 94 3 1
## 187 4 Male 77 4 2
## 188 2 Female 47 4 4
## 189 1 Male 96 3 5
## 190 2 Male 43 3 2
## 191 4 Female 64 3 2
## 192 1 Female 68 3 3
## 193 3 Female 87 3 2
## 194 2 Female 37 3 2
## 195 1 Male 36 2 1
## 196 3 Male 96 3 1
## 197 4 Male 96 3 1
## 198 4 Male 56 2 4
## 199 1 Female 42 2 3
## 200 4 Male 94 2 1
## 201 2 Female 100 4 4
## 202 2 Male 66 3 2
## 203 3 Female 98 2 2
## 204 1 Female 67 1 1
## 205 3 Female 56 3 1
## 206 2 Male 61 3 1
## 207 1 Female 85 1 2
## 208 2 Male 70 3 2
## 209 4 Female 84 3 1
## 210 3 Male 96 3 3
## 211 1 Female 60 2 4
## 212 4 Male 90 3 5
## 213 4 Male 80 4 1
## 214 4 Female 43 2 2
## 215 1 Male 54 2 1
## 216 3 Male 68 3 1
## 217 3 Female 76 3 2
## 218 4 Female 58 3 4
## 219 1 Female 75 3 1
## 220 3 Male 53 3 1
## 221 4 Male 60 3 2
## 222 1 Female 100 3 2
## 223 3 Female 36 3 2
## 224 1 Male 72 2 1
## 225 2 Male 71 3 1
## 226 4 Male 76 3 1
## 227 3 Male 75 3 1
## 228 4 Male 60 4 1
## 229 1 Female 33 3 2
## 230 3 Female 41 2 4
## 231 4 Female 59 2 2
## 232 4 Female 97 3 1
## 233 3 Male 82 1 4
## 234 4 Female 52 3 2
## 235 3 Male 92 3 4
## 236 1 Male 46 2 3
## 237 1 Male 56 3 5
## 238 1 Female 92 3 2
## 239 3 Female 82 3 1
## 240 4 Female 50 2 3
## 241 4 Male 56 3 3
## 242 2 Female 83 3 5
## 243 3 Male 76 3 1
## 244 1 Male 68 2 1
## 245 2 Male 79 2 2
## 246 1 Female 62 2 1
## 247 3 Female 39 3 3
## 248 2 Male 68 2 1
## 249 4 Female 75 3 2
## 250 2 Female 91 3 4
## 251 2 Male 59 2 1
## 252 1 Male 84 3 2
## 253 2 Female 95 2 1
## 254 4 Male 89 4 1
## 255 4 Male 55 2 3
## 256 1 Male 52 3 1
## 257 4 Female 84 3 1
## 258 4 Female 73 3 2
## 259 3 Male 64 3 3
## 260 4 Male 57 3 1
## 261 3 Female 90 2 1
## 262 1 Male 100 2 1
## 263 3 Male 58 3 1
## 264 3 Female 84 3 1
## 265 2 Male 52 3 1
## 266 1 Male 84 4 1
## 267 2 Male 71 3 4
## 268 4 Male 95 3 1
## 269 4 Male 36 3 2
## 270 3 Male 85 3 2
## 271 3 Female 67 3 2
## 272 4 Female 66 3 2
## 273 2 Female 36 2 2
## 274 3 Female 98 2 2
## 275 3 Male 61 4 5
## 276 4 Female 92 3 5
## 277 1 Female 43 3 1
## 278 3 Female 33 3 1
## 279 3 Male 46 2 2
## 280 4 Male 30 3 2
## 281 4 Male 73 3 2
## 282 4 Male 59 3 1
## 283 3 Female 52 3 2
## 284 4 Male 73 3 2
## 285 3 Male 37 4 1
## 286 2 Male 79 3 2
## 287 4 Male 75 3 1
## 288 2 Male 93 3 1
## 289 2 Female 92 3 3
## 290 1 Female 72 3 1
## 291 4 Female 91 3 1
## 292 2 Female 47 3 2
## 293 4 Female 99 3 1
## 294 3 Female 98 3 3
## 295 3 Male 38 3 4
## 296 4 Male 43 3 1
## 297 4 Male 45 2 2
## 298 1 Male 66 1 2
## 299 3 Male 46 2 1
## 300 1 Male 84 1 1
## 301 2 Male 48 3 2
## 302 2 Male 71 3 3
## 303 1 Male 94 2 1
## 304 2 Male 48 3 2
## 305 4 Male 51 3 1
## 306 1 Male 46 2 1
## 307 1 Male 64 3 1
## 308 3 Male 40 2 1
## 309 3 Male 62 3 2
## 310 4 Male 57 4 2
## 311 2 Male 45 3 2
## 312 2 Female 75 3 4
## 313 4 Female 33 3 1
## 314 2 Male 34 2 2
## 315 1 Male 84 3 2
## 316 4 Female 83 3 2
## 317 3 Female 75 3 1
## 318 2 Male 45 2 2
## 319 1 Male 44 2 2
## 320 2 Female 57 4 1
## 321 3 Female 70 2 1
## 322 2 Male 42 3 1
## 323 2 Male 75 2 1
## 324 4 Female 74 2 2
## 325 4 Female 65 2 4
## 326 2 Female 76 3 1
## 327 2 Female 31 3 5
## 328 4 Male 35 3 2
## 329 4 Female 58 2 2
## 330 3 Female 31 3 4
## 331 3 Male 36 3 4
## 332 4 Male 32 1 3
## 333 3 Male 99 3 1
## 334 3 Female 68 3 3
## 335 3 Female 32 2 5
## 336 1 Female 54 2 2
## 337 4 Male 54 3 2
## 338 1 Male 45 3 2
## 339 4 Male 81 3 2
## 340 4 Female 33 3 1
## 341 2 Female 82 2 1
## 342 4 Male 52 2 1
## 343 4 Male 34 2 3
## 344 3 Female 71 3 1
## 345 3 Male 61 3 2
## 346 2 Male 77 3 4
## 347 4 Male 95 3 2
## 348 3 Female 84 3 2
## 349 4 Male 74 1 1
## 350 3 Male 81 3 4
## 351 3 Male 83 3 3
## 352 2 Male 100 4 2
## 353 3 Female 92 2 2
## 354 4 Male 72 3 2
## 355 3 Female 81 3 3
## 356 4 Male 81 1 2
## 357 3 Female 46 2 1
## 358 3 Female 71 2 1
## 359 1 Male 33 3 2
## 360 4 Male 47 3 1
## 361 3 Male 65 2 5
## 362 3 Male 45 4 1
## 363 1 Female 57 1 5
## 364 1 Male 49 3 5
## 365 4 Female 58 1 5
## 366 3 Female 86 4 4
## 367 3 Female 46 3 2
## 368 1 Male 47 3 2
## 369 4 Male 45 4 1
## 370 1 Female 74 4 2
## 371 3 Female 96 3 2
## 372 3 Female 69 3 3
## 373 1 Male 97 3 3
## 374 2 Female 71 3 1
## 375 4 Male 54 3 1
## 376 3 Male 88 1 4
## 377 3 Female 43 4 1
## 378 2 Male 77 3 2
## 379 2 Female 69 1 1
## 380 1 Female 48 3 1
## 381 4 Male 42 3 5
## 382 3 Female 61 3 1
## 383 3 Male 96 3 2
## 384 3 Male 62 3 1
## 385 1 Male 34 3 1
## 386 4 Female 80 3 3
## 387 3 Female 92 3 3
## 388 4 Male 34 3 2
## 389 3 Female 51 3 2
## 390 1 Female 99 2 1
## 391 3 Female 93 3 2
## 392 3 Female 47 2 2
## 393 3 Male 48 3 1
## 394 3 Female 80 2 3
## 395 2 Male 35 3 1
## 396 3 Male 32 3 1
## 397 1 Male 51 3 4
## 398 1 Female 52 3 1
## 399 3 Male 57 3 2
## 400 2 Male 86 3 3
## 401 3 Female 43 1 2
## 402 3 Female 36 3 2
## 403 2 Female 64 3 1
## 404 2 Female 42 3 3
## 405 3 Female 53 2 1
## 406 2 Male 50 2 4
## 407 1 Female 91 2 2
## 408 3 Male 60 1 1
## 409 1 Female 78 2 4
## 410 2 Male 94 3 4
## 411 1 Male 77 2 1
## 412 4 Male 35 3 3
## 413 2 Male 73 3 1
## 414 4 Male 79 3 2
## 415 4 Female 33 1 1
## 416 2 Male 90 3 2
## 417 3 Female 49 3 1
## 418 3 Male 81 4 1
## 419 4 Female 56 2 2
## 420 2 Male 93 2 3
## 421 1 Male 94 3 2
## 422 2 Female 72 3 2
## 423 2 Male 76 1 2
## 424 4 Female 97 3 1
## 425 3 Male 48 2 2
## 426 3 Male 79 2 3
## 427 3 Male 64 3 1
## 428 4 Male 100 2 1
## 429 4 Male 62 2 1
## 430 4 Male 84 2 2
## 431 4 Male 74 3 2
## 432 3 Male 74 3 1
## 433 1 Male 97 2 2
## 434 4 Female 91 2 1
## 435 1 Male 67 2 3
## 436 2 Female 56 3 2
## 437 3 Male 46 3 1
## 438 3 Male 95 3 1
## 439 1 Male 86 2 1
## 440 2 Female 33 4 2
## 441 4 Female 38 3 2
## 442 4 Female 43 3 1
## 443 1 Male 79 3 1
## 444 3 Female 44 3 1
## 445 3 Male 46 3 5
## 446 1 Male 74 3 1
## 447 4 Male 90 3 2
## 448 2 Male 95 4 2
## 449 4 Female 50 3 2
## 450 1 Male 52 2 2
## 451 2 Female 95 3 2
## 452 4 Male 49 3 1
## 453 3 Male 84 3 2
## 454 2 Male 43 3 2
## 455 4 Female 40 2 4
## 456 2 Male 88 3 5
## 457 1 Female 67 3 2
## 458 3 Male 71 3 2
## 459 1 Female 90 3 1
## 460 1 Male 37 2 2
## 461 2 Male 97 3 1
## 462 1 Male 77 3 1
## 463 3 Female 77 3 3
## 464 4 Female 30 3 2
## 465 3 Male 38 2 1
## 466 4 Male 45 3 1
## 467 3 Male 70 3 1
## 468 2 Female 55 4 1
## 469 2 Male 79 1 2
## 470 4 Female 57 4 2
## 471 2 Male 41 3 1
## 472 4 Male 73 2 1
## 473 4 Male 52 3 3
## 474 3 Male 83 3 1
## 475 1 Male 50 3 1
## 476 1 Male 98 3 2
## 477 4 Male 66 2 2
## 478 1 Male 45 3 2
## 479 3 Female 54 3 1
## 480 3 Female 42 4 3
## 481 1 Male 89 3 2
## 482 4 Male 48 3 1
## 483 3 Male 86 2 2
## 484 3 Female 67 3 1
## 485 4 Female 94 3 3
## 486 2 Female 94 3 2
## 487 2 Male 89 3 1
## 488 1 Male 31 3 1
## 489 1 Male 98 2 3
## 490 2 Female 96 3 2
## 491 3 Female 35 3 5
## 492 4 Female 43 3 4
## 493 3 Male 42 2 2
## 494 4 Female 91 2 3
## 495 2 Female 63 2 2
## 496 1 Female 66 3 4
## 497 1 Male 69 3 1
## 498 2 Male 53 3 1
## 499 3 Male 94 3 2
## 500 1 Female 32 1 2
## 501 3 Female 53 2 3
## 502 3 Male 50 2 1
## 503 4 Female 95 3 1
## 504 2 Female 51 4 3
## 505 1 Female 82 3 4
## 506 4 Female 67 2 2
## 507 4 Female 34 3 1
## 508 2 Male 52 3 3
## 509 1 Male 41 3 1
## 510 2 Female 49 3 5
## 511 1 Female 100 3 2
## 512 3 Male 71 3 3
## 513 1 Male 56 3 1
## 514 1 Female 98 3 3
## 515 1 Male 39 3 1
## 516 4 Male 84 1 2
## 517 3 Male 36 2 1
## 518 2 Male 57 3 1
## 519 1 Female 48 2 2
## 520 1 Male 97 3 1
## 521 3 Female 100 2 1
## 522 3 Male 51 3 1
## 523 2 Male 59 3 3
## 524 4 Male 58 2 5
## 525 3 Male 70 2 1
## 526 3 Female 38 2 3
## 527 3 Female 30 3 2
## 528 3 Male 80 3 2
## 529 2 Male 30 2 1
## 530 2 Female 72 3 1
## 531 3 Female 65 2 3
## 532 2 Female 73 3 2
## 533 3 Male 81 4 1
## 534 3 Female 34 3 2
## 535 2 Male 77 1 1
## 536 4 Male 37 4 1
## 537 4 Male 32 3 3
## 538 3 Male 52 3 1
## 539 1 Female 62 3 1
## 540 2 Male 45 3 2
## 541 3 Male 49 3 2
## 542 4 Male 90 4 1
## 543 3 Male 79 2 1
## 544 4 Male 88 3 2
## 545 3 Female 86 2 1
## 546 2 Female 35 2 1
## 547 1 Female 51 3 3
## 548 1 Male 51 2 2
## 549 1 Female 81 2 3
## 550 2 Male 36 3 1
## 551 4 Male 59 2 5
## 552 2 Male 63 2 1
## 553 2 Male 94 2 2
## 554 4 Male 51 3 1
## 555 4 Male 63 2 2
## 556 4 Male 75 3 2
## 557 3 Female 42 3 2
## 558 2 Male 83 2 1
## 559 2 Male 98 3 2
## 560 3 Male 57 3 2
## 561 4 Male 30 3 1
## 562 1 Male 87 3 4
## 563 3 Female 37 3 1
## 564 3 Female 40 3 3
## 565 4 Male 38 1 1
## 566 2 Male 42 3 1
## 567 4 Male 84 2 2
## 568 2 Male 64 2 2
## 569 3 Female 68 2 2
## 570 4 Male 95 3 4
## 571 3 Female 54 3 2
## 572 4 Female 65 3 1
## 573 3 Male 42 2 2
## 574 2 Male 92 4 2
## 575 1 Male 66 3 2
## 576 1 Male 51 2 2
## 577 1 Male 59 2 1
## 578 3 Male 90 2 1
## 579 1 Female 81 3 2
## 580 3 Male 82 3 2
## 581 4 Male 67 3 1
## 582 1 Female 44 3 4
## 583 2 Male 60 1 2
## 584 2 Female 81 3 2
## 585 4 Male 41 3 2
## 586 3 Male 99 3 2
## 587 2 Female 79 1 2
## 588 3 Male 82 2 1
## 589 1 Female 94 3 1
## 590 3 Female 30 3 1
## 591 2 Female 85 2 1
## 592 1 Female 40 2 2
## 593 1 Male 92 3 1
## 594 3 Female 84 3 1
## 595 1 Female 80 2 3
## 596 1 Male 48 4 2
## 597 4 Male 78 2 3
## 598 2 Female 78 2 2
## 599 2 Male 87 4 2
## 600 2 Male 61 3 1
## 601 4 Female 78 3 1
## 602 4 Male 62 3 2
## 603 2 Female 73 4 3
## 604 2 Female 54 3 1
## 605 2 Female 52 1 1
## 606 3 Male 59 4 4
## 607 1 Female 57 2 2
## 608 1 Female 44 4 2
## 609 3 Male 100 4 1
## 610 2 Female 88 2 1
## 611 4 Female 60 2 2
## 612 1 Female 62 2 2
## 613 1 Female 39 3 1
## 614 4 Male 37 2 1
## 615 3 Male 62 3 3
## 616 2 Male 57 2 2
## 617 1 Female 82 2 1
## 618 2 Female 75 3 2
## 619 4 Male 42 2 3
## 620 3 Male 41 2 1
## 621 4 Female 66 2 1
## 622 3 Male 64 4 2
## 623 2 Female 72 4 1
## 624 3 Female 31 3 3
## 625 3 Male 38 2 1
## 626 1 Male 76 3 1
## 627 4 Female 42 3 2
## 628 3 Male 92 2 3
## 629 4 Male 65 3 3
## 630 4 Female 46 2 3
## 631 2 Male 98 2 1
## 632 1 Male 32 3 3
## 633 2 Male 42 3 2
## 634 1 Female 39 3 1
## 635 3 Female 43 3 3
## 636 4 Male 47 2 1
## 637 4 Male 35 3 4
## 638 4 Male 39 3 3
## 639 2 Male 89 4 1
## 640 3 Male 85 3 1
## 641 4 Male 67 3 1
## 642 2 Female 47 3 2
## 643 3 Male 40 2 4
## 644 4 Male 85 1 1
## 645 1 Male 95 2 1
## 646 3 Male 67 2 3
## 647 3 Male 80 3 1
## 648 4 Male 62 1 1
## 649 3 Male 32 2 2
## 650 1 Male 73 3 1
## 651 4 Male 68 2 1
## 652 2 Male 52 4 2
## 653 2 Female 88 3 3
## 654 1 Female 91 3 3
## 655 3 Male 99 2 1
## 656 1 Male 60 3 2
## 657 2 Male 81 2 3
## 658 2 Female 87 3 4
## 659 4 Male 95 2 2
## 660 2 Male 95 2 2
## 661 1 Male 80 3 2
## 662 4 Male 62 2 1
## 663 3 Male 74 3 3
## 664 2 Male 45 3 1
## 665 2 Male 72 3 2
## 666 4 Male 70 4 2
## 667 2 Female 42 3 3
## 668 1 Male 38 1 1
## 669 4 Male 79 3 2
## 670 4 Male 85 3 4
## 671 1 Male 30 3 3
## 672 4 Male 93 3 2
## 673 3 Male 55 3 2
## 674 4 Female 96 3 1
## 675 2 Female 86 4 1
## 676 4 Female 33 2 5
## 677 3 Female 35 3 2
## 678 4 Female 73 3 2
## 679 4 Female 97 3 2
## 680 2 Male 41 2 1
## 681 3 Male 87 2 2
## 682 4 Male 61 3 1
## 683 1 Male 80 3 2
## 684 3 Male 83 4 3
## 685 3 Male 42 3 1
## 686 3 Male 33 3 3
## 687 3 Female 84 3 3
## 688 3 Female 47 2 1
## 689 2 Male 47 2 1
## 690 1 Male 100 3 1
## 691 3 Male 71 3 2
## 692 1 Male 88 3 3
## 693 1 Male 98 2 2
## 694 3 Male 40 3 1
## 695 3 Male 31 1 2
## 696 4 Female 65 2 1
## 697 3 Male 89 2 4
## 698 4 Male 62 3 2
## 699 2 Female 70 3 1
## 700 4 Male 52 3 5
## 701 4 Male 87 2 1
## 702 2 Female 70 3 2
## 703 3 Female 78 2 3
## 704 4 Female 69 3 1
## 705 2 Male 52 3 1
## 706 4 Male 56 3 2
## 707 4 Female 68 3 2
## 708 4 Female 96 4 1
## 709 4 Female 40 2 1
## 710 1 Male 98 3 4
## 711 2 Female 95 3 3
## 712 1 Male 56 2 4
## 713 4 Male 76 4 1
## 714 1 Male 48 2 3
## 715 1 Male 76 2 3
## 716 4 Male 58 1 1
## 717 3 Male 72 2 2
## 718 3 Female 59 3 2
## 719 4 Male 36 3 2
## 720 4 Female 93 3 3
## 721 3 Male 36 3 3
## 722 3 Male 85 3 2
## 723 4 Male 91 3 1
## 724 4 Female 51 2 3
## 725 4 Male 81 3 1
## 726 1 Female 62 3 2
## 727 3 Female 54 3 1
## 728 4 Male 43 3 1
## 729 3 Male 66 1 1
## 730 3 Male 100 3 1
## 731 1 Female 55 3 2
## 732 4 Female 41 3 2
## 733 1 Female 58 2 1
## 734 4 Male 60 4 2
## 735 1 Male 35 3 1
## 736 1 Female 89 4 2
## 737 2 Female 60 2 4
## 738 3 Female 48 2 2
## 739 3 Female 86 3 2
## 740 1 Male 54 2 2
## 741 1 Male 41 2 2
## 742 3 Male 44 2 3
## 743 1 Male 47 3 2
## 744 3 Female 51 3 1
## 745 1 Female 85 3 2
## 746 3 Male 57 2 1
## 747 1 Male 56 2 1
## 748 4 Male 97 2 2
## 749 2 Male 91 3 1
## 750 3 Male 90 3 1
## 751 4 Female 54 3 1
## 752 4 Female 54 3 1
## 753 2 Male 41 3 4
## 754 3 Female 64 3 3
## 755 1 Female 60 3 3
## 756 1 Male 49 1 1
## 757 4 Female 51 3 2
## 758 1 Male 96 3 2
## 759 4 Female 87 3 1
## 760 1 Female 94 1 5
## 761 4 Female 92 2 1
## 762 3 Female 33 3 4
## 763 3 Male 40 1 2
## 764 4 Female 95 3 2
## 765 3 Male 88 3 1
## 766 3 Female 50 1 2
## 767 2 Female 43 4 1
## 768 3 Male 58 1 3
## 769 4 Male 60 3 2
## 770 2 Female 65 2 2
## 771 2 Male 46 2 2
## 772 2 Female 92 3 3
## 773 3 Female 64 3 3
## 774 4 Male 79 2 1
## 775 4 Male 40 3 3
## 776 1 Male 79 4 1
## 777 3 Male 46 3 1
## 778 3 Female 76 3 1
## 779 4 Male 76 3 1
## 780 1 Male 36 3 1
## 781 2 Female 70 3 1
## 782 4 Female 80 2 2
## 783 4 Male 57 3 1
## 784 2 Female 82 3 2
## 785 3 Male 87 3 2
## 786 1 Female 93 3 4
## 787 1 Female 53 3 3
## 788 3 Male 85 2 2
## 789 3 Male 60 2 5
## 790 4 Female 40 3 1
## 791 3 Female 43 2 2
## 792 4 Female 95 3 1
## 793 4 Female 54 2 3
## 794 3 Female 59 3 3
## 795 4 Male 92 3 2
## 796 1 Male 70 3 1
## 797 3 Male 79 3 4
## 798 3 Female 79 3 1
## 799 1 Female 96 2 1
## 800 4 Male 79 4 2
## 801 3 Female 42 4 2
## 802 2 Male 77 3 2
## 803 3 Male 99 3 4
## 804 4 Male 86 3 3
## 805 2 Male 67 3 2
## 806 4 Male 90 3 3
## 807 1 Male 93 4 2
## 808 3 Male 80 3 1
## 809 2 Male 33 3 1
## 810 3 Male 51 3 1
## 811 3 Male 66 3 2
## 812 1 Male 81 3 1
## 813 4 Female 77 3 2
## 814 4 Female 98 3 5
## 815 2 Male 98 2 1
## 816 1 Male 60 3 1
## 817 3 Female 52 2 2
## 818 3 Male 49 3 3
## 819 2 Male 35 2 1
## 820 4 Female 84 3 2
## 821 2 Female 35 4 1
## 822 4 Male 45 3 2
## 823 4 Female 95 2 2
## 824 3 Male 72 3 1
## 825 3 Female 76 3 2
## 826 4 Male 40 3 5
## 827 1 Male 70 3 3
## 828 3 Female 86 3 2
## 829 3 Female 75 2 1
## 830 1 Male 99 3 5
## 831 4 Male 42 3 2
## 832 4 Male 50 3 1
## 833 4 Male 78 2 1
## 834 3 Male 54 3 1
## 835 4 Male 37 2 4
## 836 1 Male 69 3 3
## 837 3 Male 54 3 1
## 838 4 Male 74 4 2
## 839 3 Female 92 2 3
## 840 4 Male 91 2 5
## 841 3 Male 54 3 1
## 842 2 Male 51 2 3
## 843 3 Female 81 2 4
## 844 4 Male 86 3 3
## 845 4 Female 32 1 2
## 846 3 Male 79 3 2
## 847 2 Female 79 3 1
## 848 3 Male 48 4 3
## 849 3 Male 68 2 2
## 850 3 Male 61 4 1
## 851 2 Female 71 1 2
## 852 4 Male 83 2 1
## 853 4 Female 49 2 2
## 854 2 Male 68 4 2
## 855 4 Female 44 2 2
## 856 4 Male 76 3 1
## 857 4 Female 88 3 1
## 858 3 Female 48 2 3
## 859 3 Male 94 3 1
## 860 1 Female 73 3 3
## 861 2 Female 40 2 1
## 862 4 Female 56 2 3
## 863 1 Male 67 4 2
## 864 4 Female 49 3 4
## 865 2 Male 55 3 3
## 866 4 Male 54 3 3
## 867 3 Male 100 3 2
## 868 3 Female 78 3 2
## 869 1 Female 83 3 1
## 870 2 Female 37 3 2
## JobRole JobSatisfaction MaritalStatus MonthlyIncome
## 1 Sales Executive 4 Divorced 4403
## 2 Research Director 3 Single 19626
## 3 Manufacturing Director 4 Single 9362
## 4 Sales Executive 4 Married 10422
## 5 Research Scientist 4 Single 3760
## 6 Manufacturing Director 1 Divorced 8793
## 7 Research Scientist 3 Married 2127
## 8 Sales Executive 4 Divorced 6694
## 9 Sales Representative 3 Married 2220
## 10 Healthcare Representative 3 Married 5063
## 11 Manager 3 Married 19392
## 12 Human Resources 4 Divorced 2706
## 13 Manufacturing Director 3 Single 10221
## 14 Sales Representative 2 Married 2476
## 15 Human Resources 1 Single 3423
## 16 Sales Executive 3 Married 6932
## 17 Manufacturing Director 1 Married 6725
## 18 Manufacturing Director 3 Married 5258
## 19 Research Scientist 4 Married 2932
## 20 Healthcare Representative 1 Married 5033
## 21 Manufacturing Director 2 Divorced 8847
## 22 Sales Executive 2 Married 8120
## 23 Laboratory Technician 3 Divorced 5679
## 24 Sales Executive 1 Single 5332
## 25 Healthcare Representative 4 Single 6949
## 26 Manager 2 Married 18213
## 27 Sales Executive 2 Married 9924
## 28 Sales Executive 1 Single 8224
## 29 Sales Executive 1 Single 10448
## 30 Research Scientist 4 Married 4258
## 31 Sales Executive 4 Divorced 4668
## 32 Laboratory Technician 2 Married 2028
## 33 Manager 2 Married 16872
## 34 Laboratory Technician 3 Married 2258
## 35 Manufacturing Director 4 Single 9679
## 36 Laboratory Technician 2 Married 2794
## 37 Sales Executive 1 Married 10306
## 38 Sales Executive 1 Divorced 6134
## 39 Manager 2 Single 19717
## 40 Sales Representative 4 Married 2791
## 41 Manager 2 Divorced 16291
## 42 Sales Representative 3 Single 6632
## 43 Laboratory Technician 1 Divorced 2587
## 44 Manager 4 Single 19613
## 45 Research Scientist 3 Married 1223
## 46 Laboratory Technician 4 Single 3673
## 47 Sales Executive 2 Single 6735
## 48 Sales Executive 3 Divorced 8740
## 49 Sales Representative 2 Single 1878
## 50 Research Scientist 2 Divorced 2024
## 51 Research Scientist 1 Single 2619
## 52 Research Director 1 Married 19701
## 53 Research Scientist 4 Married 2011
## 54 Laboratory Technician 2 Married 4447
## 55 Manufacturing Director 4 Single 4424
## 56 Laboratory Technician 1 Divorced 2289
## 57 Research Scientist 3 Divorced 2759
## 58 Laboratory Technician 1 Single 4723
## 59 Research Director 4 Divorced 13603
## 60 Sales Representative 4 Single 1118
## 61 Sales Executive 4 Married 10325
## 62 Healthcare Representative 3 Married 7094
## 63 Sales Representative 3 Married 3067
## 64 Research Scientist 3 Single 1514
## 65 Laboratory Technician 2 Married 2210
## 66 Research Scientist 2 Divorced 3298
## 67 Research Scientist 4 Single 6646
## 68 Laboratory Technician 4 Single 2647
## 69 Research Scientist 1 Married 2194
## 70 Research Scientist 4 Single 2115
## 71 Research Scientist 4 Married 2782
## 72 Sales Executive 1 Single 8463
## 73 Manufacturing Director 3 Married 5916
## 74 Laboratory Technician 4 Married 4766
## 75 Sales Executive 2 Single 8446
## 76 Laboratory Technician 4 Single 4011
## 77 Sales Executive 3 Married 7083
## 78 Manager 1 Single 17567
## 79 Sales Executive 4 Single 8865
## 80 Laboratory Technician 4 Divorced 1129
## 81 Healthcare Representative 2 Married 4777
## 82 Manufacturing Director 3 Married 6883
## 83 Manufacturing Director 3 Married 5321
## 84 Research Scientist 1 Divorced 5974
## 85 Manufacturing Director 2 Single 5410
## 86 Manufacturing Director 4 Single 13726
## 87 Sales Executive 1 Single 4960
## 88 Laboratory Technician 2 Divorced 3743
## 89 Sales Executive 3 Single 8726
## 90 Manager 1 Single 18947
## 91 Laboratory Technician 4 Married 1702
## 92 Sales Executive 1 Married 7336
## 93 Laboratory Technician 3 Single 2090
## 94 Healthcare Representative 3 Single 6142
## 95 Manager 2 Single 19926
## 96 Sales Executive 3 Married 4907
## 97 Manager 2 Married 16606
## 98 Healthcare Representative 4 Divorced 5163
## 99 Laboratory Technician 2 Married 3180
## 100 Laboratory Technician 2 Married 3294
## 101 Laboratory Technician 1 Married 2099
## 102 Sales Executive 4 Divorced 10793
## 103 Sales Executive 3 Married 6538
## 104 Research Scientist 1 Married 2819
## 105 Research Director 2 Single 16598
## 106 Laboratory Technician 4 Married 4420
## 107 Manufacturing Director 3 Married 4319
## 108 Manager 2 Married 19636
## 109 Healthcare Representative 2 Married 8926
## 110 Research Scientist 1 Single 2439
## 111 Research Scientist 3 Divorced 2703
## 112 Manager 4 Married 17099
## 113 Healthcare Representative 2 Single 10445
## 114 Healthcare Representative 1 Divorced 5093
## 115 Sales Executive 1 Married 8966
## 116 Sales Executive 2 Single 7642
## 117 Sales Executive 4 Single 4950
## 118 Laboratory Technician 2 Married 4025
## 119 Research Scientist 3 Divorced 2451
## 120 Healthcare Representative 4 Single 6687
## 121 Research Director 1 Married 11713
## 122 Sales Representative 1 Single 2380
## 123 Sales Executive 1 Divorced 10761
## 124 Sales Executive 4 Single 4028
## 125 Sales Executive 4 Single 4554
## 126 Sales Executive 4 Married 5204
## 127 Research Scientist 1 Single 3919
## 128 Manufacturing Director 4 Married 5906
## 129 Research Scientist 3 Single 4081
## 130 Sales Executive 1 Divorced 13225
## 131 Sales Executive 2 Divorced 4187
## 132 Sales Executive 4 Single 4507
## 133 Healthcare Representative 4 Married 4523
## 134 Manufacturing Director 2 Married 5295
## 135 Laboratory Technician 3 Divorced 5257
## 136 Healthcare Representative 2 Married 4244
## 137 Laboratory Technician 1 Married 2319
## 138 Manufacturing Director 3 Married 10739
## 139 Laboratory Technician 1 Married 2404
## 140 Sales Executive 4 Single 7428
## 141 Manufacturing Director 2 Married 13402
## 142 Research Scientist 3 Divorced 2372
## 143 Manufacturing Director 3 Divorced 10845
## 144 Sales Executive 4 Married 6502
## 145 Healthcare Representative 3 Divorced 6377
## 146 Sales Executive 3 Married 4649
## 147 Research Scientist 2 Married 2756
## 148 Sales Executive 1 Married 6392
## 149 Laboratory Technician 2 Single 3597
## 150 Manufacturing Director 1 Divorced 4877
## 151 Sales Executive 1 Divorced 4233
## 152 Sales Executive 4 Single 5396
## 153 Sales Executive 3 Married 5484
## 154 Healthcare Representative 2 Single 6870
## 155 Laboratory Technician 2 Divorced 2008
## 156 Sales Executive 3 Married 4736
## 157 Sales Executive 2 Married 5677
## 158 Healthcare Representative 4 Divorced 12169
## 159 Manufacturing Director 1 Married 10820
## 160 Research Director 1 Married 13191
## 161 Laboratory Technician 4 Married 5126
## 162 Healthcare Representative 1 Single 8722
## 163 Sales Executive 3 Divorced 7104
## 164 Research Scientist 1 Single 6545
## 165 Sales Executive 2 Married 8020
## 166 Sales Representative 3 Single 2044
## 167 Research Director 2 Married 16413
## 168 Research Director 3 Divorced 16184
## 169 Research Scientist 1 Divorced 5577
## 170 Research Scientist 4 Divorced 2514
## 171 Sales Executive 4 Divorced 5304
## 172 Research Scientist 2 Married 5467
## 173 Healthcare Representative 3 Married 10527
## 174 Sales Executive 3 Divorced 8380
## 175 Manager 3 Divorced 14852
## 176 Research Scientist 2 Single 2070
## 177 Manager 1 Married 19859
## 178 Research Scientist 1 Married 2042
## 179 Sales Executive 4 Single 8998
## 180 Sales Executive 4 Single 8686
## 181 Manufacturing Director 2 Divorced 10274
## 182 Sales Executive 1 Divorced 6893
## 183 Research Scientist 3 Single 4739
## 184 Manufacturing Director 2 Single 8376
## 185 Laboratory Technician 3 Married 3755
## 186 Research Scientist 4 Married 2070
## 187 Manufacturing Director 3 Divorced 5206
## 188 Manager 2 Divorced 15972
## 189 Research Director 2 Divorced 19144
## 190 Sales Executive 3 Married 4221
## 191 Research Scientist 4 Married 5775
## 192 Sales Executive 1 Married 9637
## 193 Manufacturing Director 3 Divorced 4810
## 194 Sales Executive 4 Married 4051
## 195 Research Scientist 4 Single 3904
## 196 Research Scientist 4 Married 2723
## 197 Laboratory Technician 4 Married 2075
## 198 Sales Executive 2 Married 13120
## 199 Healthcare Representative 4 Married 10248
## 200 Laboratory Technician 2 Married 2127
## 201 Sales Executive 2 Single 13194
## 202 Research Scientist 2 Married 6220
## 203 Manufacturing Director 3 Married 6162
## 204 Research Scientist 2 Single 2216
## 205 Sales Representative 2 Married 3931
## 206 Research Scientist 1 Married 2559
## 207 Sales Executive 3 Single 5346
## 208 Healthcare Representative 1 Married 6673
## 209 Research Scientist 1 Divorced 3204
## 210 Sales Executive 3 Divorced 8189
## 211 Manufacturing Director 2 Married 13570
## 212 Manager 3 Married 18303
## 213 Research Scientist 4 Single 4680
## 214 Manufacturing Director 4 Married 6062
## 215 Research Scientist 4 Single 2045
## 216 Research Scientist 3 Divorced 2345
## 217 Healthcare Representative 3 Married 9824
## 218 Manager 4 Divorced 17174
## 219 Research Scientist 3 Single 2632
## 220 Research Scientist 4 Single 2875
## 221 Sales Executive 4 Single 6274
## 222 Sales Executive 1 Married 4286
## 223 Sales Executive 4 Divorced 5368
## 224 Research Scientist 3 Divorced 1563
## 225 Research Scientist 4 Divorced 4771
## 226 Laboratory Technician 2 Married 3748
## 227 Laboratory Technician 4 Divorced 1951
## 228 Research Scientist 2 Divorced 2328
## 229 Sales Executive 3 Married 4999
## 230 Healthcare Representative 3 Married 13966
## 231 Manufacturing Director 4 Divorced 5770
## 232 Sales Representative 4 Married 2014
## 233 Sales Executive 3 Married 12936
## 234 Sales Executive 1 Married 5940
## 235 Manager 4 Married 16959
## 236 Sales Executive 3 Married 10609
## 237 Manager 3 Married 18880
## 238 Research Scientist 4 Married 6322
## 239 Human Resources 2 Married 2187
## 240 Research Director 1 Divorced 13269
## 241 Manufacturing Director 1 Married 7406
## 242 Manager 2 Single 18061
## 243 Research Scientist 2 Married 2703
## 244 Sales Representative 1 Married 4400
## 245 Manufacturing Director 4 Married 5056
## 246 Laboratory Technician 4 Divorced 2532
## 247 Manufacturing Director 4 Single 7143
## 248 Sales Representative 2 Married 2269
## 249 Research Scientist 4 Divorced 5467
## 250 Manager 1 Married 16595
## 251 Laboratory Technician 3 Divorced 2008
## 252 Sales Executive 4 Divorced 5079
## 253 Research Scientist 3 Single 2274
## 254 Human Resources 1 Married 2956
## 255 Research Director 2 Divorced 13757
## 256 Research Scientist 3 Single 2438
## 257 Sales Representative 2 Divorced 2789
## 258 Sales Executive 1 Divorced 4779
## 259 Sales Executive 4 Married 9713
## 260 Laboratory Technician 3 Divorced 3977
## 261 Sales Representative 4 Single 2785
## 262 Research Scientist 1 Single 2362
## 263 Laboratory Technician 4 Married 2436
## 264 Sales Representative 4 Married 2157
## 265 Laboratory Technician 3 Married 2774
## 266 Laboratory Technician 2 Married 2426
## 267 Research Director 1 Divorced 17007
## 268 Laboratory Technician 2 Single 1393
## 269 Healthcare Representative 3 Divorced 5968
## 270 Manufacturing Director 1 Married 9957
## 271 Sales Executive 3 Married 5154
## 272 Research Scientist 2 Divorced 5433
## 273 Sales Representative 3 Married 3540
## 274 Sales Executive 1 Married 5647
## 275 Research Director 2 Single 18722
## 276 Manager 1 Divorced 19943
## 277 Research Scientist 2 Married 2244
## 278 Laboratory Technician 4 Single 2455
## 279 Sales Executive 3 Single 5744
## 280 Healthcare Representative 3 Married 4035
## 281 Sales Executive 4 Married 7847
## 282 Laboratory Technician 1 Single 4721
## 283 Healthcare Representative 4 Divorced 6513
## 284 Sales Executive 4 Divorced 7547
## 285 Human Resources 3 Married 2844
## 286 Laboratory Technician 3 Married 5207
## 287 Research Scientist 2 Single 2472
## 288 Laboratory Technician 4 Divorced 2661
## 289 Sales Executive 4 Married 9738
## 290 Sales Representative 4 Married 2572
## 291 Laboratory Technician 4 Divorced 2270
## 292 Laboratory Technician 2 Married 5674
## 293 Research Scientist 2 Single 2279
## 294 Research Director 2 Married 11957
## 295 Manager 4 Single 16437
## 296 Laboratory Technician 3 Married 2660
## 297 Manufacturing Director 3 Married 9547
## 298 Laboratory Technician 3 Single 6074
## 299 Research Scientist 1 Single 2321
## 300 Research Scientist 4 Married 3464
## 301 Sales Executive 2 Married 6524
## 302 Sales Executive 1 Married 9069
## 303 Research Scientist 2 Divorced 3537
## 304 Research Scientist 3 Single 5098
## 305 Research Scientist 3 Single 2479
## 306 Laboratory Technician 4 Married 3162
## 307 Laboratory Technician 4 Married 2380
## 308 Research Scientist 4 Married 2979
## 309 Healthcare Representative 2 Married 6385
## 310 Sales Executive 2 Married 4851
## 311 Research Scientist 4 Married 5484
## 312 Manufacturing Director 3 Single 13237
## 313 Research Scientist 3 Single 4084
## 314 Manufacturing Director 3 Married 6132
## 315 Sales Executive 1 Single 5405
## 316 Sales Executive 4 Single 4163
## 317 Sales Representative 3 Married 2231
## 318 Healthcare Representative 3 Single 4617
## 319 Sales Executive 4 Married 6120
## 320 Research Scientist 4 Single 2994
## 321 Laboratory Technician 2 Married 2332
## 322 Research Scientist 4 Married 2691
## 323 Research Scientist 4 Divorced 3761
## 324 Research Scientist 1 Divorced 4615
## 325 Manufacturing Director 4 Married 12742
## 326 Research Scientist 3 Single 2318
## 327 Research Director 4 Divorced 19049
## 328 Research Scientist 1 Divorced 5410
## 329 Research Scientist 2 Divorced 2133
## 330 Manager 1 Married 16799
## 331 Manager 3 Single 15379
## 332 Sales Executive 4 Married 10400
## 333 Research Scientist 2 Divorced 2342
## 334 Manufacturing Director 1 Married 7412
## 335 Manager 4 Married 18844
## 336 Research Scientist 3 Single 4508
## 337 Sales Executive 4 Divorced 4968
## 338 Healthcare Representative 4 Single 7756
## 339 Sales Executive 3 Single 4728
## 340 Laboratory Technician 1 Divorced 2341
## 341 Research Scientist 1 Married 3419
## 342 Laboratory Technician 4 Married 3867
## 343 Healthcare Representative 4 Divorced 7119
## 344 Research Scientist 3 Divorced 2083
## 345 Sales Executive 1 Divorced 4115
## 346 Sales Executive 1 Single 13341
## 347 Manufacturing Director 3 Single 4033
## 348 Manufacturing Director 2 Divorced 6397
## 349 Research Scientist 3 Single 2290
## 350 Healthcare Representative 4 Married 11103
## 351 Research Director 1 Married 13348
## 352 Sales Executive 4 Married 6929
## 353 Research Scientist 4 Married 4422
## 354 Healthcare Representative 4 Divorced 4069
## 355 Sales Executive 3 Divorced 10447
## 356 Sales Executive 1 Single 4759
## 357 Research Scientist 2 Married 2368
## 358 Research Scientist 2 Married 2546
## 359 Manufacturing Director 4 Married 6162
## 360 Laboratory Technician 4 Married 3210
## 361 Manager 3 Married 19999
## 362 Sales Representative 1 Single 1091
## 363 Manager 4 Married 19845
## 364 Research Director 3 Divorced 19436
## 365 Manager 3 Married 19187
## 366 Sales Executive 1 Married 13212
## 367 Laboratory Technician 2 Divorced 4444
## 368 Sales Executive 1 Married 5473
## 369 Research Scientist 3 Married 2073
## 370 Research Scientist 4 Single 5055
## 371 Manufacturing Director 1 Married 4148
## 372 Sales Executive 1 Married 8412
## 373 Laboratory Technician 1 Divorced 5210
## 374 Research Scientist 2 Married 3936
## 375 Sales Representative 1 Single 2728
## 376 Research Director 4 Single 14411
## 377 Laboratory Technician 1 Single 2743
## 378 Sales Executive 4 Divorced 5087
## 379 Research Scientist 4 Married 2168
## 380 Research Scientist 3 Married 2132
## 381 Research Director 3 Married 18300
## 382 Human Resources 3 Married 2942
## 383 Sales Executive 1 Divorced 5486
## 384 Sales Representative 1 Divorced 2322
## 385 Research Scientist 3 Married 2461
## 386 Research Director 1 Married 13582
## 387 Sales Executive 3 Single 8789
## 388 Manufacturing Director 4 Divorced 4262
## 389 Sales Representative 4 Single 4502
## 390 Sales Representative 2 Single 2174
## 391 Sales Executive 1 Married 6500
## 392 Sales Executive 4 Married 4157
## 393 Research Scientist 1 Divorced 3065
## 394 Sales Executive 1 Married 10266
## 395 Research Scientist 4 Single 2515
## 396 Research Scientist 4 Divorced 2695
## 397 Research Director 3 Married 17861
## 398 Human Resources 3 Married 2742
## 399 Healthcare Representative 3 Divorced 6306
## 400 Manufacturing Director 3 Single 10209
## 401 Manufacturing Director 4 Single 6091
## 402 Manufacturing Director 3 Divorced 5265
## 403 Laboratory Technician 3 Single 2105
## 404 Healthcare Representative 1 Married 8008
## 405 Research Scientist 1 Single 2559
## 406 Research Director 4 Divorced 16627
## 407 Sales Executive 4 Married 5468
## 408 Laboratory Technician 3 Divorced 2741
## 409 Manager 4 Married 15427
## 410 Research Director 1 Married 17159
## 411 Human Resources 1 Married 2342
## 412 Sales Executive 3 Single 9241
## 413 Research Scientist 2 Married 3022
## 414 Sales Executive 4 Single 4648
## 415 Sales Representative 3 Divorced 2351
## 416 Manufacturing Director 4 Divorced 5762
## 417 Laboratory Technician 4 Single 2564
## 418 Laboratory Technician 4 Married 3688
## 419 Manufacturing Director 4 Married 6474
## 420 Research Director 3 Married 11935
## 421 Manufacturing Director 2 Married 4325
## 422 Research Scientist 3 Married 4449
## 423 Sales Executive 3 Married 6172
## 424 Laboratory Technician 4 Single 1611
## 425 Sales Executive 1 Married 4724
## 426 Sales Executive 4 Divorced 10798
## 427 Research Scientist 3 Divorced 1274
## 428 Research Scientist 3 Single 3230
## 429 Laboratory Technician 3 Single 3730
## 430 Manufacturing Director 1 Married 5957
## 431 Sales Executive 3 Single 4478
## 432 Research Scientist 3 Divorced 3544
## 433 Laboratory Technician 1 Single 4284
## 434 Research Scientist 1 Divorced 2109
## 435 Sales Executive 2 Divorced 9705
## 436 Sales Executive 2 Married 6214
## 437 Research Scientist 3 Single 4382
## 438 Laboratory Technician 1 Single 2867
## 439 Sales Representative 3 Married 2683
## 440 Healthcare Representative 4 Single 7625
## 441 Research Scientist 3 Single 4998
## 442 Laboratory Technician 3 Married 2974
## 443 Laboratory Technician 3 Single 3485
## 444 Human Resources 4 Divorced 3195
## 445 Research Director 4 Divorced 19328
## 446 Research Scientist 4 Married 3420
## 447 Research Scientist 4 Married 4735
## 448 Healthcare Representative 1 Married 5538
## 449 Laboratory Technician 4 Single 2406
## 450 Sales Executive 1 Married 4385
## 451 Healthcare Representative 4 Married 4878
## 452 Research Scientist 2 Single 3420
## 453 Sales Executive 4 Single 5813
## 454 Sales Executive 3 Single 5487
## 455 Manager 1 Married 15402
## 456 Manager 2 Single 19833
## 457 Sales Executive 4 Married 5476
## 458 Sales Executive 4 Single 5441
## 459 Research Scientist 1 Married 2066
## 460 Laboratory Technician 4 Single 5810
## 461 Laboratory Technician 3 Married 2093
## 462 Laboratory Technician 2 Single 2013
## 463 Sales Executive 4 Single 9208
## 464 Manufacturing Director 4 Single 5238
## 465 Research Scientist 3 Married 2437
## 466 Research Scientist 4 Single 3944
## 467 Sales Representative 4 Single 2644
## 468 Laboratory Technician 4 Married 3038
## 469 Sales Executive 1 Single 4969
## 470 Manufacturing Director 1 Divorced 4450
## 471 Research Scientist 2 Married 2226
## 472 Research Scientist 4 Single 2439
## 473 Research Director 1 Married 13245
## 474 Research Scientist 4 Single 3452
## 475 Laboratory Technician 3 Divorced 2207
## 476 Sales Executive 4 Single 5772
## 477 Sales Executive 3 Divorced 6334
## 478 Sales Executive 3 Divorced 4306
## 479 Laboratory Technician 1 Married 2950
## 480 Research Director 4 Married 13744
## 481 Healthcare Representative 1 Married 5373
## 482 Research Scientist 4 Married 2356
## 483 Research Scientist 4 Married 5747
## 484 Research Scientist 1 Divorced 4257
## 485 Healthcare Representative 4 Married 10312
## 486 Sales Executive 4 Single 5993
## 487 Sales Representative 4 Single 1081
## 488 Research Scientist 3 Divorced 2911
## 489 Laboratory Technician 3 Single 5381
## 490 Healthcare Representative 3 Single 6142
## 491 Research Director 1 Single 18665
## 492 Research Director 1 Married 16880
## 493 Sales Executive 3 Single 5869
## 494 Healthcare Representative 2 Single 8606
## 495 Sales Executive 3 Married 5673
## 496 Manager 3 Married 16307
## 497 Research Scientist 4 Married 2654
## 498 Research Scientist 4 Married 2326
## 499 Healthcare Representative 3 Married 5237
## 500 Sales Executive 3 Married 5736
## 501 Manufacturing Director 1 Married 10008
## 502 Laboratory Technician 3 Single 2028
## 503 Sales Representative 3 Married 2655
## 504 Manufacturing Director 1 Divorced 9980
## 505 Research Director 3 Married 17169
## 506 Research Scientist 2 Married 5878
## 507 Sales Representative 3 Single 2851
## 508 Sales Executive 2 Married 10596
## 509 Sales Representative 4 Divorced 2793
## 510 Research Director 3 Married 19545
## 511 Sales Executive 4 Married 5343
## 512 Healthcare Representative 3 Married 10920
## 513 Research Scientist 3 Married 3433
## 514 Research Director 4 Single 13458
## 515 Sales Representative 4 Single 2610
## 516 Manufacturing Director 2 Divorced 5482
## 517 Sales Representative 2 Married 2413
## 518 Laboratory Technician 2 Divorced 2766
## 519 Laboratory Technician 4 Married 4627
## 520 Laboratory Technician 4 Single 2587
## 521 Research Scientist 4 Single 2553
## 522 Laboratory Technician 2 Married 2408
## 523 Research Scientist 1 Divorced 9724
## 524 Research Director 3 Divorced 19502
## 525 Research Scientist 4 Married 2177
## 526 Sales Executive 2 Married 7525
## 527 Sales Executive 1 Divorced 5006
## 528 Healthcare Representative 1 Married 6833
## 529 Research Scientist 3 Single 2859
## 530 Research Scientist 2 Married 4963
## 531 Healthcare Representative 3 Married 8823
## 532 Sales Executive 3 Single 6815
## 533 Research Scientist 3 Married 2700
## 534 Healthcare Representative 4 Divorced 6667
## 535 Laboratory Technician 1 Married 2119
## 536 Research Scientist 4 Divorced 2089
## 537 Sales Executive 2 Single 7351
## 538 Human Resources 3 Divorced 2696
## 539 Sales Representative 2 Single 3202
## 540 Sales Executive 1 Single 5155
## 541 Laboratory Technician 3 Divorced 3491
## 542 Research Scientist 1 Married 3143
## 543 Research Scientist 3 Divorced 2566
## 544 Manufacturing Director 3 Married 6553
## 545 Research Scientist 1 Single 4381
## 546 Research Scientist 4 Married 2929
## 547 Laboratory Technician 2 Married 7403
## 548 Laboratory Technician 3 Single 5094
## 549 Research Director 2 Married 12061
## 550 Human Resources 2 Single 2177
## 551 Manager 3 Married 19189
## 552 Human Resources 4 Divorced 4936
## 553 Human Resources 4 Single 3886
## 554 Research Scientist 3 Married 2259
## 555 Healthcare Representative 4 Married 4876
## 556 Sales Executive 3 Married 9602
## 557 Laboratory Technician 3 Single 3780
## 558 Research Scientist 4 Married 3622
## 559 Manufacturing Director 2 Married 4434
## 560 Sales Executive 3 Married 5296
## 561 Laboratory Technician 2 Single 2088
## 562 Research Director 3 Married 15787
## 563 Laboratory Technician 2 Married 2811
## 564 Research Director 3 Married 11031
## 565 Laboratory Technician 3 Married 3833
## 566 Research Scientist 4 Single 2436
## 567 Laboratory Technician 1 Single 2176
## 568 Sales Executive 1 Married 9714
## 569 Sales Executive 3 Single 6244
## 570 Manufacturing Director 3 Married 13973
## 571 Sales Executive 2 Married 4393
## 572 Research Scientist 4 Single 2693
## 573 Sales Executive 4 Married 6834
## 574 Sales Executive 3 Married 6799
## 575 Sales Executive 2 Married 6272
## 576 Manufacturing Director 3 Divorced 5993
## 577 Sales Representative 1 Single 2858
## 578 Laboratory Technician 3 Single 3162
## 579 Manufacturing Director 3 Single 5042
## 580 Healthcare Representative 4 Divorced 6623
## 581 Laboratory Technician 4 Married 3669
## 582 Research Director 4 Single 15992
## 583 Healthcare Representative 4 Married 5811
## 584 Sales Executive 2 Married 4779
## 585 Healthcare Representative 4 Married 6465
## 586 Laboratory Technician 4 Married 2741
## 587 Research Scientist 4 Divorced 5329
## 588 Sales Representative 1 Single 3407
## 589 Laboratory Technician 3 Single 3629
## 590 Laboratory Technician 1 Married 4014
## 591 Research Scientist 3 Married 2814
## 592 Sales Executive 2 Single 4599
## 593 Sales Representative 3 Married 2909
## 594 Laboratory Technician 1 Married 3211
## 595 Manufacturing Director 3 Married 10435
## 596 Sales Executive 1 Divorced 4037
## 597 Manufacturing Director 2 Married 10903
## 598 Laboratory Technician 3 Married 3448
## 599 Manufacturing Director 2 Married 6142
## 600 Research Scientist 4 Married 2293
## 601 Sales Representative 2 Married 2033
## 602 Research Scientist 1 Married 4087
## 603 Research Director 1 Married 11416
## 604 Laboratory Technician 4 Married 3131
## 605 Sales Representative 2 Single 2760
## 606 Research Director 3 Married 14814
## 607 Sales Executive 3 Single 5473
## 608 Sales Executive 1 Divorced 5605
## 609 Laboratory Technician 1 Single 3578
## 610 Sales Representative 4 Single 2342
## 611 Laboratory Technician 4 Married 5363
## 612 Healthcare Representative 3 Single 6811
## 613 Laboratory Technician 1 Married 2707
## 614 Sales Representative 2 Single 2121
## 615 Sales Executive 3 Divorced 7264
## 616 Laboratory Technician 4 Married 3986
## 617 Laboratory Technician 2 Married 3838
## 618 Sales Executive 1 Divorced 5454
## 619 Healthcare Representative 1 Married 9991
## 620 Laboratory Technician 3 Married 1281
## 621 Laboratory Technician 4 Single 2926
## 622 Manufacturing Director 3 Divorced 5067
## 623 Research Scientist 4 Single 3280
## 624 Human Resources 4 Single 8837
## 625 Laboratory Technician 1 Single 2561
## 626 Research Scientist 3 Divorced 2517
## 627 Sales Executive 3 Married 4162
## 628 Research Director 4 Divorced 11510
## 629 Manufacturing Director 2 Married 10976
## 630 Healthcare Representative 2 Single 8621
## 631 Research Scientist 4 Married 2662
## 632 Sales Executive 4 Single 9888
## 633 Sales Executive 4 Single 6861
## 634 Laboratory Technician 4 Divorced 2835
## 635 Healthcare Representative 1 Married 9985
## 636 Laboratory Technician 4 Married 2376
## 637 Manager 1 Married 17665
## 638 Sales Executive 3 Divorced 8628
## 639 Research Scientist 4 Married 2725
## 640 Sales Representative 1 Divorced 3041
## 641 Laboratory Technician 3 Divorced 2693
## 642 Healthcare Representative 1 Divorced 4448
## 643 Manager 1 Single 16756
## 644 Research Scientist 1 Married 2307
## 645 Research Scientist 1 Divorced 2107
## 646 Sales Executive 4 Married 10855
## 647 Laboratory Technician 3 Single 1904
## 648 Laboratory Technician 3 Married 2305
## 649 Sales Executive 1 Single 4312
## 650 Laboratory Technician 1 Single 2166
## 651 Laboratory Technician 1 Single 2450
## 652 Sales Executive 4 Divorced 5220
## 653 Research Director 3 Single 13499
## 654 Manager 3 Married 12504
## 655 Laboratory Technician 3 Single 3894
## 656 Healthcare Representative 1 Married 4741
## 657 Research Director 2 Married 12490
## 658 Manager 4 Divorced 16032
## 659 Manufacturing Director 2 Single 6032
## 660 Manufacturing Director 2 Single 6499
## 661 Laboratory Technician 4 Married 5309
## 662 Research Scientist 3 Divorced 2768
## 663 Sales Executive 4 Divorced 10368
## 664 Laboratory Technician 4 Divorced 3917
## 665 Sales Executive 3 Single 4568
## 666 Healthcare Representative 3 Single 6294
## 667 Sales Executive 4 Married 7918
## 668 Laboratory Technician 4 Divorced 3408
## 669 Laboratory Technician 3 Married 4883
## 670 Research Director 4 Married 17779
## 671 Research Director 3 Single 13664
## 672 Sales Executive 4 Divorced 5505
## 673 Sales Executive 1 Single 4898
## 674 Research Scientist 2 Divorced 2022
## 675 Research Scientist 3 Married 3517
## 676 Manager 2 Married 18789
## 677 Manufacturing Director 2 Married 5228
## 678 Laboratory Technician 3 Married 6323
## 679 Manufacturing Director 2 Divorced 5131
## 680 Sales Representative 3 Married 2329
## 681 Sales Executive 1 Married 4256
## 682 Laboratory Technician 4 Married 2258
## 683 Healthcare Representative 3 Married 5347
## 684 Healthcare Representative 4 Divorced 9439
## 685 Research Scientist 4 Married 2713
## 686 Manufacturing Director 2 Divorced 10648
## 687 Healthcare Representative 4 Single 7553
## 688 Research Scientist 2 Married 2622
## 689 Laboratory Technician 4 Single 1102
## 690 Human Resources 2 Divorced 2592
## 691 Human Resources 3 Married 6077
## 692 Manager 2 Married 11849
## 693 Healthcare Representative 4 Single 6781
## 694 Research Scientist 4 Single 2285
## 695 Sales Executive 4 Divorced 9525
## 696 Sales Representative 4 Single 3294
## 697 Manager 4 Married 15202
## 698 Laboratory Technician 2 Single 5914
## 699 Sales Representative 4 Single 1569
## 700 Research Director 2 Married 19081
## 701 Human Resources 2 Married 2804
## 702 Sales Executive 3 Married 5714
## 703 Sales Executive 4 Married 10377
## 704 Human Resources 2 Married 2148
## 705 Human Resources 3 Married 2267
## 706 Sales Executive 4 Single 6230
## 707 Research Scientist 4 Married 6854
## 708 Human Resources 2 Single 2109
## 709 Laboratory Technician 3 Married 3702
## 710 Manager 1 Divorced 17924
## 711 Manager 1 Married 11916
## 712 Manager 4 Divorced 14118
## 713 Laboratory Technician 2 Single 2559
## 714 Sales Executive 4 Married 9699
## 715 Sales Executive 1 Single 7587
## 716 Human Resources 3 Married 1555
## 717 Sales Executive 3 Married 6578
## 718 Research Scientist 3 Single 3660
## 719 Sales Executive 4 Single 4581
## 720 Manufacturing Director 2 Divorced 7655
## 721 Manufacturing Director 3 Married 9434
## 722 Manufacturing Director 3 Married 5768
## 723 Research Scientist 1 Divorced 2996
## 724 Manufacturing Director 4 Single 8858
## 725 Laboratory Technician 3 Single 3968
## 726 Manufacturing Director 3 Married 4898
## 727 Sales Representative 4 Married 2973
## 728 Research Scientist 3 Divorced 3815
## 729 Laboratory Technician 4 Single 2340
## 730 Laboratory Technician 4 Married 2523
## 731 Manufacturing Director 2 Divorced 4765
## 732 Sales Executive 3 Married 5238
## 733 Human Resources 2 Married 2863
## 734 Sales Executive 3 Married 4707
## 735 Research Scientist 4 Single 2972
## 736 Sales Executive 3 Single 6500
## 737 Sales Executive 4 Married 12031
## 738 Sales Executive 4 Single 5171
## 739 Sales Executive 3 Married 4601
## 740 Laboratory Technician 4 Single 3681
## 741 Sales Executive 3 Married 8639
## 742 Manager 4 Divorced 11557
## 743 Research Scientist 4 Married 4285
## 744 Laboratory Technician 2 Single 3295
## 745 Sales Executive 3 Divorced 4907
## 746 Laboratory Technician 1 Divorced 2296
## 747 Human Resources 1 Divorced 2335
## 748 Healthcare Representative 1 Single 5343
## 749 Laboratory Technician 1 Divorced 3907
## 750 Research Scientist 4 Single 2500
## 751 Sales Representative 4 Single 2323
## 752 Sales Representative 2 Single 2302
## 753 Healthcare Representative 3 Married 11245
## 754 Sales Executive 2 Married 7314
## 755 Research Director 3 Married 13549
## 756 Laboratory Technician 3 Single 3708
## 757 Healthcare Representative 4 Married 4014
## 758 Healthcare Representative 3 Married 6651
## 759 Laboratory Technician 3 Married 3306
## 760 Manager 2 Single 18824
## 761 Research Scientist 1 Single 2404
## 762 Manager 4 Married 16752
## 763 Sales Executive 2 Single 6151
## 764 Sales Executive 3 Married 6347
## 765 Human Resources 4 Married 3737
## 766 Laboratory Technician 1 Single 5769
## 767 Research Scientist 3 Married 3376
## 768 Sales Executive 1 Divorced 10932
## 769 Manufacturing Director 4 Divorced 7379
## 770 Sales Executive 3 Married 5593
## 771 Sales Executive 4 Single 4682
## 772 Sales Executive 1 Divorced 10453
## 773 Healthcare Representative 3 Single 10938
## 774 Research Scientist 3 Married 3388
## 775 Healthcare Representative 4 Married 10124
## 776 Research Scientist 3 Single 3505
## 777 Human Resources 3 Divorced 2064
## 778 Sales Representative 1 Divorced 2827
## 779 Laboratory Technician 4 Single 2570
## 780 Research Scientist 4 Married 4787
## 781 Sales Representative 2 Single 3140
## 782 Healthcare Representative 3 Single 4553
## 783 Human Resources 2 Divorced 2277
## 784 Sales Executive 3 Married 4539
## 785 Sales Executive 2 Married 4978
## 786 Research Director 2 Single 16422
## 787 Manager 3 Married 13116
## 788 Research Scientist 2 Married 4941
## 789 Research Director 1 Married 19038
## 790 Research Scientist 2 Single 2096
## 791 Laboratory Technician 1 Married 4789
## 792 Research Scientist 2 Single 2311
## 793 Manufacturing Director 3 Married 7756
## 794 Healthcare Representative 3 Divorced 10096
## 795 Manufacturing Director 4 Divorced 6804
## 796 Research Scientist 1 Single 3348
## 797 Healthcare Representative 4 Married 13496
## 798 Laboratory Technician 1 Married 2398
## 799 Research Scientist 2 Single 1859
## 800 Healthcare Representative 1 Divorced 6842
## 801 Sales Executive 1 Married 5376
## 802 Sales Executive 4 Single 6582
## 803 Manager 1 Married 17068
## 804 Sales Executive 1 Single 9582
## 805 Laboratory Technician 2 Married 2042
## 806 Healthcare Representative 1 Married 8321
## 807 Sales Executive 3 Married 6232
## 808 Research Scientist 4 Married 2323
## 809 Research Scientist 4 Married 2862
## 810 Research Scientist 2 Married 3058
## 811 Laboratory Technician 1 Divorced 3072
## 812 Laboratory Technician 4 Married 3229
## 813 Sales Executive 3 Divorced 4260
## 814 Manager 3 Married 19658
## 815 Sales Representative 2 Married 2899
## 816 Research Scientist 4 Married 2781
## 817 Manufacturing Director 4 Single 6877
## 818 Research Director 3 Married 11691
## 819 Laboratory Technician 4 Single 2720
## 820 Sales Executive 3 Single 9854
## 821 Research Scientist 4 Married 3312
## 822 Sales Executive 4 Divorced 6931
## 823 Sales Executive 3 Married 6712
## 824 Laboratory Technician 3 Married 2610
## 825 Manufacturing Director 3 Married 4663
## 826 Research Director 4 Divorced 19627
## 827 Sales Executive 3 Married 8161
## 828 Sales Executive 1 Single 4538
## 829 Laboratory Technician 2 Married 2468
## 830 Manager 2 Married 18200
## 831 Laboratory Technician 1 Married 3633
## 832 Sales Representative 3 Single 1675
## 833 Laboratory Technician 1 Married 3196
## 834 Research Scientist 1 Single 2552
## 835 Healthcare Representative 2 Divorced 13577
## 836 Sales Executive 2 Divorced 8834
## 837 Research Scientist 3 Married 2996
## 838 Sales Executive 4 Single 5337
## 839 Manufacturing Director 2 Divorced 10333
## 840 Research Director 2 Married 19665
## 841 Laboratory Technician 3 Single 1420
## 842 Human Resources 1 Single 7988
## 843 Manufacturing Director 4 Married 13826
## 844 Healthcare Representative 4 Divorced 8500
## 845 Sales Executive 4 Single 6029
## 846 Laboratory Technician 1 Divorced 4558
## 847 Laboratory Technician 2 Single 1483
## 848 Healthcare Representative 4 Divorced 9613
## 849 Sales Executive 3 Married 6380
## 850 Laboratory Technician 4 Married 2544
## 851 Sales Executive 3 Married 4559
## 852 Laboratory Technician 3 Single 2206
## 853 Laboratory Technician 3 Single 4193
## 854 Healthcare Representative 1 Single 5661
## 855 Manufacturing Director 2 Married 4788
## 856 Sales Representative 3 Married 2404
## 857 Research Scientist 1 Single 2657
## 858 Manufacturing Director 3 Married 8943
## 859 Laboratory Technician 1 Married 2238
## 860 Healthcare Representative 4 Married 7978
## 861 Laboratory Technician 3 Single 2838
## 862 Sales Executive 4 Single 10231
## 863 Sales Executive 4 Single 5304
## 864 Sales Executive 3 Divorced 13770
## 865 Manufacturing Director 4 Married 9380
## 866 Manufacturing Director 4 Single 7898
## 867 Sales Executive 4 Married 4465
## 868 Sales Executive 3 Married 4591
## 869 Research Scientist 3 Married 4477
## 870 Laboratory Technician 2 Single 4425
## MonthlyRate NumCompaniesWorked Over18 OverTime PercentSalaryHike
## 1 9250 2 Y No 11
## 2 17544 1 Y No 14
## 3 19944 2 Y No 11
## 4 24032 1 Y No 19
## 5 17218 1 Y Yes 13
## 6 4809 1 Y No 21
## 7 5561 2 Y Yes 12
## 8 24223 2 Y Yes 14
## 9 18410 1 Y Yes 19
## 10 15332 1 Y No 14
## 11 22539 7 Y No 13
## 12 10494 1 Y No 15
## 13 18869 3 Y No 21
## 14 17434 1 Y No 18
## 15 22957 6 Y No 12
## 16 24406 1 Y No 13
## 17 13554 1 Y No 12
## 18 16044 2 Y No 14
## 19 5586 0 Y Yes 14
## 20 9364 2 Y No 15
## 21 13934 2 Y Yes 11
## 22 18597 3 Y No 12
## 23 19627 3 Y Yes 13
## 24 21602 7 Y No 13
## 25 12291 0 Y No 14
## 26 8751 7 Y No 11
## 27 12355 0 Y No 11
## 28 18385 0 Y Yes 17
## 29 5843 6 Y Yes 13
## 30 26589 0 Y No 18
## 31 22812 0 Y No 17
## 32 13637 1 Y No 18
## 33 14977 3 Y Yes 12
## 34 16340 6 Y No 12
## 35 10138 8 Y No 24
## 36 26062 1 Y No 20
## 37 21530 9 Y No 17
## 38 8658 5 Y Yes 13
## 39 4022 6 Y No 14
## 40 21981 0 Y No 12
## 41 22577 4 Y No 22
## 42 12388 0 Y No 13
## 43 24941 4 Y Yes 16
## 44 26362 8 Y No 22
## 45 16901 1 Y No 22
## 46 16458 1 Y No 13
## 47 12147 6 Y No 15
## 48 5569 0 Y Yes 14
## 49 8059 1 Y Yes 14
## 50 5970 6 Y No 18
## 51 14561 3 Y No 17
## 52 22456 3 Y Yes 21
## 53 19982 1 Y No 13
## 54 23163 1 Y No 12
## 55 20682 1 Y No 23
## 56 20520 1 Y No 20
## 57 20366 6 Y Yes 12
## 58 16213 1 Y Yes 18
## 59 11677 2 Y Yes 18
## 60 8040 1 Y Yes 14
## 61 5518 1 Y Yes 11
## 62 5747 3 Y No 12
## 63 6393 0 Y No 19
## 64 8018 1 Y No 16
## 65 3372 1 Y No 13
## 66 15053 0 Y Yes 12
## 67 19368 1 Y No 13
## 68 13672 1 Y No 13
## 69 5868 4 Y No 13
## 70 15881 1 Y No 12
## 71 21412 3 Y No 22
## 72 23490 0 Y No 18
## 73 15497 3 Y Yes 13
## 74 9051 3 Y Yes 11
## 75 21534 9 Y Yes 19
## 76 10781 1 Y No 23
## 77 12288 1 Y Yes 14
## 78 3156 1 Y No 15
## 79 16840 6 Y No 12
## 80 17536 1 Y Yes 11
## 81 14382 5 Y No 15
## 82 5151 2 Y No 16
## 83 14284 2 Y No 11
## 84 17001 4 Y Yes 13
## 85 2323 9 Y Yes 11
## 86 21829 3 Y Yes 13
## 87 11825 2 Y No 12
## 88 10074 1 Y Yes 24
## 89 2975 1 Y No 15
## 90 22822 3 Y No 12
## 91 12106 1 Y Yes 23
## 92 11162 1 Y No 13
## 93 2396 6 Y Yes 15
## 94 4223 3 Y Yes 16
## 95 17053 3 Y No 15
## 96 24532 1 Y No 25
## 97 11380 8 Y No 12
## 98 15850 5 Y No 14
## 99 4668 0 Y No 13
## 100 3708 5 Y No 17
## 101 7679 0 Y No 14
## 102 8386 1 Y No 18
## 103 12740 9 Y No 15
## 104 8544 2 Y No 16
## 105 19764 4 Y No 12
## 106 13421 1 Y No 22
## 107 26283 1 Y No 13
## 108 25811 4 Y Yes 18
## 109 10842 4 Y No 22
## 110 11288 1 Y No 14
## 111 22088 1 Y Yes 14
## 112 13829 2 Y No 15
## 113 15322 7 Y No 19
## 114 4761 2 Y No 11
## 115 21026 3 Y Yes 15
## 116 4814 1 Y Yes 13
## 117 20623 0 Y No 14
## 118 23679 4 Y Yes 13
## 119 4609 4 Y No 12
## 120 6163 1 Y No 11
## 121 20335 9 Y No 14
## 122 25479 1 Y Yes 11
## 123 19239 4 Y Yes 12
## 124 7791 0 Y No 20
## 125 20260 1 Y No 18
## 126 13586 1 Y Yes 11
## 127 4681 1 Y Yes 22
## 128 23888 0 Y No 13
## 129 20003 1 Y Yes 14
## 130 7739 2 Y No 12
## 131 3356 1 Y Yes 13
## 132 8191 3 Y No 12
## 133 4386 0 Y No 11
## 134 7693 4 Y No 21
## 135 6227 1 Y No 11
## 136 9931 1 Y No 24
## 137 6689 1 Y Yes 11
## 138 13943 8 Y No 11
## 139 4303 7 Y Yes 21
## 140 14506 2 Y No 12
## 141 18235 4 Y Yes 12
## 142 26076 1 Y No 12
## 143 24208 6 Y No 13
## 144 22825 4 Y No 14
## 145 13888 5 Y No 20
## 146 16928 1 Y No 14
## 147 4673 1 Y No 13
## 148 10589 2 Y No 13
## 149 6409 8 Y No 22
## 150 20460 0 Y No 21
## 151 11512 2 Y No 17
## 152 21703 1 Y No 12
## 153 16985 1 Y No 14
## 154 15530 3 Y No 12
## 155 6896 1 Y No 14
## 156 6069 7 Y Yes 12
## 157 4258 3 Y No 14
## 158 13547 7 Y No 11
## 159 11535 8 Y No 11
## 160 23281 3 Y Yes 17
## 161 15998 1 Y Yes 12
## 162 12355 1 Y No 12
## 163 20431 0 Y No 12
## 164 23016 3 Y Yes 13
## 165 5100 0 Y No 15
## 166 22052 1 Y No 13
## 167 3498 3 Y No 16
## 168 22578 4 Y No 19
## 169 22087 3 Y Yes 12
## 170 26968 4 Y No 22
## 171 25275 7 Y No 23
## 172 2125 8 Y No 18
## 173 8984 5 Y No 11
## 174 21708 0 Y Yes 14
## 175 13938 6 Y No 13
## 176 25326 1 Y Yes 11
## 177 21199 5 Y Yes 13
## 178 15346 6 Y Yes 14
## 179 15589 1 Y No 14
## 180 12930 4 Y No 22
## 181 19588 2 Y No 18
## 182 19461 3 Y No 15
## 183 16090 4 Y No 12
## 184 9150 4 Y No 18
## 185 17872 1 Y No 11
## 186 2613 1 Y No 23
## 187 4973 1 Y No 17
## 188 21086 6 Y No 14
## 189 15815 3 Y No 14
## 190 8863 1 Y No 15
## 191 11934 1 Y No 13
## 192 8277 2 Y No 14
## 193 26314 2 Y No 14
## 194 19658 2 Y No 14
## 195 4050 0 Y No 12
## 196 23231 1 Y No 11
## 197 18725 3 Y No 23
## 198 11879 6 Y No 17
## 199 2094 3 Y No 14
## 200 9100 1 Y No 21
## 201 17071 4 Y Yes 16
## 202 7346 1 Y No 17
## 203 19124 1 Y No 12
## 204 3872 7 Y Yes 13
## 205 20990 2 Y No 11
## 206 7508 1 Y Yes 13
## 207 9489 8 Y No 13
## 208 11354 7 Y Yes 19
## 209 10415 5 Y No 14
## 210 21196 3 Y Yes 13
## 211 5640 0 Y No 23
## 212 7770 6 Y No 13
## 213 15232 3 Y No 17
## 214 4051 9 Y Yes 13
## 215 15174 0 Y No 13
## 216 8045 2 Y No 14
## 217 22174 3 Y No 19
## 218 2437 3 Y No 11
## 219 23910 1 Y No 14
## 220 9973 1 Y Yes 20
## 221 18686 1 Y No 22
## 222 5630 2 Y No 14
## 223 16130 1 Y Yes 25
## 224 12530 1 Y No 14
## 225 14293 2 Y No 19
## 226 4077 1 Y No 13
## 227 10910 1 Y No 12
## 228 12392 1 Y Yes 16
## 229 17519 0 Y No 21
## 230 11652 2 Y Yes 19
## 231 5388 1 Y No 19
## 232 9687 1 Y No 13
## 233 24164 7 Y No 11
## 234 17011 2 Y No 14
## 235 19494 1 Y Yes 12
## 236 14922 5 Y No 11
## 237 17312 5 Y No 11
## 238 18089 1 Y Yes 12
## 239 19655 4 Y No 14
## 240 21981 5 Y No 15
## 241 6950 1 Y Yes 21
## 242 13035 3 Y No 22
## 243 4956 0 Y No 23
## 244 15182 3 Y No 12
## 245 17689 1 Y Yes 15
## 246 6054 6 Y No 14
## 247 25713 1 Y Yes 14
## 248 18024 0 Y No 14
## 249 13953 3 Y Yes 14
## 250 5626 7 Y No 16
## 251 20439 1 Y No 12
## 252 25952 4 Y No 13
## 253 6153 1 Y No 14
## 254 21495 0 Y No 17
## 255 25178 2 Y No 11
## 256 24978 4 Y No 13
## 257 3909 1 Y No 11
## 258 12761 7 Y No 14
## 259 24444 2 Y Yes 13
## 260 7298 6 Y Yes 19
## 261 11882 7 Y No 14
## 262 7568 6 Y No 13
## 263 22149 5 Y Yes 13
## 264 18203 1 Y No 15
## 265 13257 0 Y No 12
## 266 16479 0 Y No 13
## 267 11929 7 Y No 14
## 268 24852 1 Y No 12
## 269 18079 1 Y No 20
## 270 9096 0 Y No 15
## 271 19665 4 Y No 22
## 272 19332 1 Y No 12
## 273 7018 1 Y No 21
## 274 13494 4 Y No 13
## 275 13339 8 Y No 11
## 276 18575 4 Y No 13
## 277 24440 1 Y No 13
## 278 10675 0 Y No 19
## 279 26959 1 Y Yes 11
## 280 16143 0 Y Yes 16
## 281 6069 1 Y Yes 17
## 282 3119 2 Y Yes 13
## 283 9060 4 Y No 17
## 284 7143 4 Y No 12
## 285 6004 1 Y No 13
## 286 22949 1 Y Yes 12
## 287 26092 1 Y Yes 23
## 288 8758 0 Y No 11
## 289 22952 0 Y No 14
## 290 20317 1 Y No 16
## 291 11005 3 Y No 14
## 292 6927 7 Y No 15
## 293 11781 1 Y No 16
## 294 17231 0 Y No 18
## 295 17381 1 Y Yes 21
## 296 20232 7 Y Yes 11
## 297 14074 1 Y No 17
## 298 22887 1 Y Yes 24
## 299 10322 0 Y Yes 22
## 300 24737 5 Y Yes 13
## 301 8891 1 Y No 14
## 302 11031 1 Y No 22
## 303 23737 5 Y No 12
## 304 18698 1 Y No 19
## 305 26227 4 Y No 24
## 306 10778 0 Y No 17
## 307 20165 4 Y No 18
## 308 22478 3 Y No 17
## 309 12992 3 Y Yes 14
## 310 15678 0 Y No 22
## 311 13008 9 Y No 17
## 312 20364 7 Y No 15
## 313 4156 1 Y No 12
## 314 13983 2 Y No 17
## 315 11924 8 Y No 14
## 316 8571 1 Y Yes 17
## 317 11314 6 Y No 18
## 318 14120 1 Y No 12
## 319 3567 3 Y Yes 12
## 320 21221 1 Y Yes 12
## 321 3974 6 Y No 20
## 322 7660 1 Y No 12
## 323 2373 9 Y No 12
## 324 21029 8 Y Yes 23
## 325 7060 1 Y No 16
## 326 17808 1 Y No 19
## 327 3549 0 Y Yes 14
## 328 11189 6 Y Yes 17
## 329 18115 1 Y Yes 16
## 330 16616 0 Y No 14
## 331 22384 4 Y No 14
## 332 25812 1 Y No 11
## 333 11092 1 Y Yes 12
## 334 6009 1 Y No 11
## 335 21922 9 Y No 21
## 336 3129 1 Y No 22
## 337 18500 1 Y No 11
## 338 22266 0 Y No 17
## 339 17251 3 Y Yes 14
## 340 19715 1 Y No 13
## 341 13072 9 Y Yes 14
## 342 14222 1 Y Yes 12
## 343 21214 4 Y No 15
## 344 22653 1 Y No 20
## 345 13192 8 Y No 19
## 346 25098 0 Y No 12
## 347 15834 2 Y No 11
## 348 26767 1 Y No 20
## 349 4279 2 Y No 13
## 350 20420 7 Y No 11
## 351 14842 9 Y No 13
## 352 12241 4 Y No 11
## 353 21203 3 Y Yes 13
## 354 8841 3 Y Yes 18
## 355 26458 0 Y Yes 13
## 356 15891 3 Y No 18
## 357 23300 1 Y No 19
## 358 18300 5 Y No 16
## 359 10877 1 Y Yes 22
## 360 20251 0 Y No 11
## 361 5678 0 Y No 14
## 362 10642 1 Y No 17
## 363 25846 1 Y No 15
## 364 5949 0 Y No 19
## 365 6992 4 Y No 14
## 366 18256 9 Y No 11
## 367 22534 4 Y No 13
## 368 19345 0 Y No 12
## 369 12826 2 Y No 16
## 370 10557 7 Y No 16
## 371 11275 1 Y No 12
## 372 2890 0 Y No 11
## 373 20308 1 Y No 18
## 374 9953 1 Y No 11
## 375 21082 1 Y No 11
## 376 24450 1 Y Yes 13
## 377 8269 1 Y No 16
## 378 2900 3 Y Yes 12
## 379 26933 0 Y Yes 18
## 380 11539 4 Y Yes 11
## 381 16375 4 Y No 11
## 382 8916 1 Y No 23
## 383 24795 4 Y No 11
## 384 9518 3 Y No 13
## 385 10332 9 Y Yes 12
## 386 16292 1 Y No 13
## 387 9096 1 Y No 14
## 388 22645 4 Y No 12
## 389 7439 3 Y No 15
## 390 9150 1 Y Yes 11
## 391 13305 5 Y No 17
## 392 21436 7 Y Yes 19
## 393 3995 1 Y Yes 13
## 394 2845 4 Y No 19
## 395 9068 5 Y Yes 14
## 396 7747 0 Y Yes 18
## 397 2288 6 Y No 13
## 398 3072 1 Y No 15
## 399 26236 1 Y No 21
## 400 19719 5 Y Yes 18
## 401 24793 2 Y No 20
## 402 16439 2 Y No 16
## 403 5411 4 Y No 12
## 404 22792 4 Y No 12
## 405 17852 1 Y No 11
## 406 2671 4 Y Yes 14
## 407 13402 1 Y No 14
## 408 6865 1 Y No 14
## 409 22021 2 Y No 16
## 410 5200 6 Y No 24
## 411 8635 0 Y No 21
## 412 15869 1 Y No 12
## 413 10227 4 Y No 21
## 414 26075 8 Y No 13
## 415 12253 0 Y No 16
## 416 24442 2 Y No 14
## 417 7181 0 Y No 14
## 418 7122 4 Y No 18
## 419 9961 1 Y No 13
## 420 21526 1 Y No 18
## 421 17736 1 Y No 15
## 422 23866 3 Y Yes 15
## 423 20739 4 Y Yes 18
## 424 19305 1 Y No 15
## 425 24232 1 Y No 11
## 426 5268 5 Y No 13
## 427 7152 1 Y No 13
## 428 10531 1 Y No 17
## 429 9571 0 Y Yes 14
## 430 23687 6 Y No 13
## 431 5242 1 Y Yes 11
## 432 8532 9 Y No 16
## 433 22710 3 Y No 20
## 434 10007 1 Y No 13
## 435 20652 2 Y No 12
## 436 3415 1 Y No 18
## 437 16374 6 Y No 17
## 438 20006 0 Y No 13
## 439 3810 1 Y Yes 14
## 440 19383 0 Y No 13
## 441 2338 4 Y Yes 14
## 442 25412 9 Y No 17
## 443 14935 2 Y No 11
## 444 4167 4 Y Yes 18
## 445 14218 7 Y Yes 17
## 446 10205 7 Y No 12
## 447 9867 7 Y No 15
## 448 5696 5 Y No 18
## 449 5456 1 Y No 11
## 450 24162 1 Y No 15
## 451 21653 0 Y Yes 13
## 452 21158 1 Y No 13
## 453 13492 1 Y Yes 18
## 454 10410 1 Y No 14
## 455 17997 7 Y No 11
## 456 4349 1 Y No 14
## 457 22589 1 Y No 11
## 458 8423 0 Y Yes 22
## 459 10494 2 Y No 22
## 460 22604 1 Y No 16
## 461 9260 4 Y No 17
## 462 10950 2 Y No 11
## 463 6645 4 Y No 11
## 464 6670 2 Y No 20
## 465 15587 9 Y Yes 16
## 466 4306 5 Y Yes 11
## 467 17001 3 Y Yes 21
## 468 22002 3 Y No 12
## 469 21813 8 Y No 18
## 470 26250 1 Y No 11
## 471 6073 1 Y No 11
## 472 14753 1 Y Yes 24
## 473 15067 4 Y Yes 14
## 474 9752 5 Y No 13
## 475 22482 1 Y No 16
## 476 20445 4 Y Yes 21
## 477 24558 4 Y No 19
## 478 4267 5 Y No 12
## 479 17363 9 Y No 13
## 480 15471 1 Y Yes 25
## 481 6225 0 Y No 12
## 482 14871 3 Y Yes 19
## 483 26496 1 Y Yes 15
## 484 13939 4 Y Yes 18
## 485 3465 1 Y No 12
## 486 19479 8 Y Yes 11
## 487 16019 1 Y No 13
## 488 15170 1 Y No 17
## 489 19294 9 Y Yes 13
## 490 7360 3 Y No 11
## 491 25594 9 Y Yes 11
## 492 22422 4 Y Yes 11
## 493 23413 9 Y No 11
## 494 21195 1 Y No 19
## 495 6060 1 Y Yes 13
## 496 5594 2 Y No 14
## 497 9655 3 Y No 21
## 498 11411 1 Y Yes 12
## 499 16577 6 Y No 13
## 500 3987 6 Y No 19
## 501 12023 7 Y Yes 14
## 502 12947 5 Y Yes 14
## 503 11740 2 Y Yes 11
## 504 10195 1 Y No 11
## 505 26703 3 Y No 19
## 506 15624 3 Y No 12
## 507 9150 1 Y Yes 13
## 508 15395 2 Y No 11
## 509 2539 4 Y No 17
## 510 16280 1 Y No 12
## 511 5982 1 Y No 11
## 512 3449 3 Y No 21
## 513 17360 6 Y No 13
## 514 15146 1 Y Yes 12
## 515 2851 1 Y No 24
## 516 16321 5 Y No 18
## 517 18798 1 Y Yes 18
## 518 8952 8 Y No 22
## 519 23631 0 Y No 12
## 520 10261 1 Y No 16
## 521 8306 1 Y No 16
## 522 7324 1 Y Yes 17
## 523 18787 2 Y No 17
## 524 2125 1 Y Yes 17
## 525 8456 3 Y No 17
## 526 23537 2 Y No 12
## 527 6319 4 Y Yes 11
## 528 17089 1 Y Yes 12
## 529 26278 1 Y No 18
## 530 4510 9 Y Yes 18
## 531 24608 0 Y No 18
## 532 21447 6 Y No 13
## 533 23779 1 Y No 24
## 534 16542 5 Y No 18
## 535 4759 1 Y Yes 11
## 536 5228 4 Y No 14
## 537 20619 7 Y No 16
## 538 24017 0 Y Yes 11
## 539 21972 1 Y Yes 16
## 540 2253 7 Y No 13
## 541 11309 1 Y No 13
## 542 6076 6 Y No 19
## 543 25326 1 Y Yes 15
## 544 7259 9 Y No 14
## 545 7530 1 Y No 11
## 546 20338 1 Y No 12
## 547 22477 4 Y No 11
## 548 11983 6 Y No 14
## 549 26707 3 Y No 17
## 550 8318 1 Y No 16
## 551 19562 1 Y No 12
## 552 23965 1 Y No 13
## 553 4223 1 Y No 21
## 554 5543 4 Y No 17
## 555 14242 9 Y No 14
## 556 3010 4 Y Yes 11
## 557 23428 7 Y No 11
## 558 22794 1 Y Yes 13
## 559 11806 1 Y No 13
## 560 20156 1 Y No 17
## 561 15062 4 Y No 12
## 562 21624 2 Y Yes 14
## 563 12086 9 Y No 14
## 564 26862 4 Y No 20
## 565 24375 3 Y No 21
## 566 13422 6 Y Yes 12
## 567 19737 4 Y No 13
## 568 5323 1 Y No 11
## 569 7824 7 Y No 17
## 570 4161 3 Y Yes 18
## 571 26841 5 Y No 21
## 572 8870 1 Y No 19
## 573 19255 1 Y Yes 12
## 574 22128 1 Y No 21
## 575 7428 1 Y No 20
## 576 2689 1 Y No 18
## 577 11473 4 Y No 14
## 578 7973 3 Y No 14
## 579 3140 0 Y No 13
## 580 4204 1 Y Yes 11
## 581 9075 3 Y No 11
## 582 15901 2 Y No 14
## 583 24539 3 Y Yes 16
## 584 3698 1 Y Yes 20
## 585 19121 2 Y Yes 13
## 586 16523 8 Y Yes 15
## 587 15717 7 Y Yes 12
## 588 6986 7 Y No 23
## 589 19106 4 Y No 18
## 590 16002 3 Y Yes 15
## 591 10293 1 Y Yes 14
## 592 7815 0 Y Yes 23
## 593 15747 3 Y No 15
## 594 22102 1 Y No 14
## 595 25800 1 Y No 13
## 596 21816 1 Y No 22
## 597 9129 3 Y No 16
## 598 13436 6 Y No 22
## 599 5174 1 Y Yes 20
## 600 3020 2 Y Yes 16
## 601 7103 1 Y No 13
## 602 25174 4 Y No 14
## 603 17802 0 Y Yes 12
## 604 26342 1 Y No 13
## 605 14630 1 Y No 13
## 606 13514 3 Y No 19
## 607 24668 7 Y No 11
## 608 19191 1 Y Yes 24
## 609 23577 0 Y No 12
## 610 21437 0 Y No 19
## 611 10846 0 Y No 12
## 612 2112 2 Y Yes 17
## 613 21509 7 Y No 20
## 614 9947 1 Y Yes 13
## 615 9977 5 Y No 11
## 616 11912 1 Y No 14
## 617 8192 8 Y No 11
## 618 4009 5 Y Yes 21
## 619 21457 4 Y No 15
## 620 16900 1 Y No 18
## 621 19783 1 Y Yes 18
## 622 6759 1 Y Yes 19
## 623 13551 2 Y No 16
## 624 16642 1 Y Yes 16
## 625 5355 7 Y No 11
## 626 3208 1 Y No 11
## 627 15211 1 Y Yes 12
## 628 15682 0 Y Yes 14
## 629 15813 3 Y No 18
## 630 17654 1 Y No 14
## 631 7975 8 Y No 20
## 632 6770 1 Y No 21
## 633 4981 8 Y Yes 12
## 634 2561 5 Y No 22
## 635 9262 8 Y No 16
## 636 26537 1 Y No 13
## 637 14399 0 Y No 17
## 638 22914 1 Y No 18
## 639 21630 1 Y Yes 11
## 640 16346 0 Y No 11
## 641 13335 1 Y No 22
## 642 10748 2 Y No 12
## 643 17323 7 Y No 15
## 644 14460 1 Y Yes 23
## 645 20293 6 Y No 17
## 646 8552 7 Y No 11
## 647 13556 1 Y No 12
## 648 6217 1 Y No 15
## 649 23016 0 Y No 14
## 650 3339 3 Y Yes 14
## 651 21731 1 Y No 19
## 652 10893 0 Y Yes 18
## 653 13782 9 Y No 17
## 654 23978 3 Y No 21
## 655 9129 5 Y No 16
## 656 22722 1 Y Yes 13
## 657 15736 5 Y No 16
## 658 24456 3 Y No 20
## 659 10110 6 Y Yes 15
## 660 22656 1 Y No 13
## 661 21146 1 Y No 15
## 662 8416 3 Y No 12
## 663 5596 4 Y Yes 12
## 664 9541 1 Y No 20
## 665 10034 0 Y No 20
## 666 23060 8 Y Yes 12
## 667 6599 1 Y No 14
## 668 6705 7 Y No 13
## 669 22845 1 Y No 18
## 670 23474 3 Y No 14
## 671 25258 4 Y No 13
## 672 3921 1 Y No 14
## 673 11827 0 Y No 14
## 674 16612 1 Y Yes 19
## 675 22490 7 Y No 17
## 676 9946 2 Y No 14
## 677 23361 0 Y No 15
## 678 26849 1 Y No 11
## 679 9192 7 Y No 13
## 680 11737 3 Y No 15
## 681 18154 1 Y No 12
## 682 15238 7 Y No 20
## 683 7419 6 Y No 14
## 684 23402 3 Y Yes 16
## 685 6672 1 Y No 11
## 686 14394 1 Y No 25
## 687 22930 0 Y Yes 12
## 688 13248 6 Y No 21
## 689 9241 1 Y No 22
## 690 7129 5 Y No 13
## 691 14814 3 Y No 11
## 692 10268 1 Y Yes 12
## 693 17078 3 Y No 23
## 694 3427 9 Y Yes 23
## 695 7677 1 Y No 14
## 696 13137 1 Y Yes 18
## 697 5602 2 Y No 25
## 698 9945 8 Y No 16
## 699 18420 1 Y Yes 12
## 700 10849 5 Y No 11
## 701 15434 1 Y No 11
## 702 5829 1 Y No 20
## 703 13755 4 Y Yes 11
## 704 6889 0 Y Yes 11
## 705 25657 8 Y No 17
## 706 13430 7 Y No 14
## 707 15696 4 Y No 15
## 708 24609 9 Y No 18
## 709 16376 1 Y No 11
## 710 4544 1 Y No 11
## 711 25927 1 Y Yes 23
## 712 22102 3 Y No 12
## 713 16620 5 Y No 11
## 714 7246 4 Y No 11
## 715 14229 1 Y No 15
## 716 11585 1 Y No 11
## 717 2706 1 Y No 18
## 718 7909 3 Y No 13
## 719 10414 3 Y Yes 24
## 720 8039 0 Y No 17
## 721 9606 1 Y No 15
## 722 26493 3 Y No 17
## 723 20284 5 Y No 14
## 724 15669 0 Y No 11
## 725 13624 4 Y No 13
## 726 7505 0 Y No 12
## 727 21222 5 Y No 15
## 728 5972 1 Y Yes 17
## 729 23213 1 Y Yes 18
## 730 19299 0 Y No 14
## 731 23814 4 Y No 21
## 732 17778 4 Y Yes 18
## 733 19555 1 Y No 12
## 734 23914 8 Y No 12
## 735 22061 1 Y No 13
## 736 26997 0 Y No 14
## 737 8828 0 Y No 11
## 738 16490 5 Y No 17
## 739 6179 1 Y No 16
## 740 14004 4 Y No 14
## 741 24835 2 Y No 18
## 742 25291 9 Y No 21
## 743 3031 1 Y No 17
## 744 12862 1 Y No 13
## 745 13684 0 Y Yes 22
## 746 10036 0 Y No 14
## 747 3157 4 Y Yes 15
## 748 25755 0 Y No 20
## 749 3622 1 Y No 13
## 750 10515 0 Y No 14
## 751 17205 1 Y Yes 14
## 752 8319 1 Y Yes 11
## 753 20689 2 Y Yes 15
## 754 14011 5 Y No 21
## 755 24001 9 Y No 12
## 756 2104 2 Y No 14
## 757 19170 1 Y Yes 25
## 758 21534 2 Y No 14
## 759 26176 7 Y No 19
## 760 2493 2 Y Yes 16
## 761 11479 6 Y Yes 20
## 762 12982 1 Y Yes 11
## 763 22074 1 Y No 13
## 764 24920 0 Y No 12
## 765 2243 0 Y No 19
## 766 23447 1 Y Yes 14
## 767 18863 1 Y No 13
## 768 11373 3 Y No 15
## 769 17433 2 Y No 11
## 770 17970 1 Y No 13
## 771 4317 3 Y No 14
## 772 2137 1 Y No 25
## 773 6420 0 Y No 25
## 774 21777 0 Y Yes 17
## 775 18611 2 Y Yes 14
## 776 19630 1 Y No 18
## 777 15428 0 Y No 21
## 778 14947 1 Y No 12
## 779 11925 1 Y No 20
## 780 26124 9 Y Yes 14
## 781 21728 1 Y Yes 22
## 782 20978 1 Y No 11
## 783 22650 3 Y Yes 11
## 784 4905 1 Y No 12
## 785 3536 7 Y No 11
## 786 8847 3 Y No 11
## 787 22984 2 Y No 11
## 788 17747 2 Y No 15
## 789 19805 8 Y No 12
## 790 18830 1 Y No 18
## 791 23070 4 Y No 25
## 792 5711 2 Y No 15
## 793 14199 3 Y Yes 19
## 794 8202 1 Y No 13
## 795 23793 1 Y Yes 15
## 796 3164 1 Y Yes 11
## 797 7501 0 Y Yes 14
## 798 15999 1 Y Yes 17
## 799 6148 1 Y Yes 25
## 800 26308 6 Y No 20
## 801 3193 2 Y No 19
## 802 8346 4 Y Yes 13
## 803 5355 1 Y Yes 14
## 804 10333 0 Y Yes 22
## 805 25043 4 Y No 12
## 806 25949 7 Y Yes 13
## 807 12477 2 Y No 11
## 808 11992 1 Y No 24
## 809 3811 1 Y No 12
## 810 13364 0 Y Yes 16
## 811 11012 1 Y No 11
## 812 4910 4 Y No 11
## 813 5915 1 Y Yes 12
## 814 5220 3 Y No 11
## 815 12102 0 Y No 19
## 816 6311 0 Y No 13
## 817 20234 5 Y Yes 24
## 818 25995 0 Y No 11
## 819 11162 0 Y No 13
## 820 23352 3 Y Yes 11
## 821 18783 3 Y No 17
## 822 10732 2 Y No 14
## 823 8978 1 Y No 21
## 824 6233 1 Y No 12
## 825 12421 9 Y Yes 12
## 826 21445 9 Y No 17
## 827 19002 2 Y No 13
## 828 6039 0 Y Yes 12
## 829 15963 4 Y No 14
## 830 7999 1 Y No 11
## 831 14039 1 Y Yes 15
## 832 26820 1 Y Yes 19
## 833 12449 1 Y No 12
## 834 7172 1 Y No 25
## 835 25592 1 Y Yes 15
## 836 24666 1 Y No 13
## 837 5182 7 Y Yes 15
## 838 19921 1 Y No 12
## 839 19271 8 Y Yes 12
## 840 13583 4 Y No 12
## 841 25233 1 Y No 13
## 842 9769 1 Y No 13
## 843 19028 3 Y No 22
## 844 5494 0 Y No 11
## 845 25353 5 Y No 12
## 846 13535 1 Y No 12
## 847 16102 1 Y No 14
## 848 10942 0 Y No 17
## 849 6110 2 Y Yes 12
## 850 7102 0 Y No 18
## 851 24788 3 Y Yes 11
## 852 16117 1 Y No 13
## 853 12682 0 Y Yes 12
## 854 4824 0 Y No 19
## 855 25388 0 Y Yes 11
## 856 16192 1 Y No 13
## 857 8556 5 Y Yes 11
## 858 14034 1 Y No 24
## 859 6961 2 Y No 21
## 860 14075 1 Y No 11
## 861 4257 0 Y No 14
## 862 20364 3 Y No 14
## 863 4652 8 Y Yes 13
## 864 10225 9 Y Yes 12
## 865 14720 4 Y Yes 18
## 866 18706 1 Y No 11
## 867 12069 0 Y No 18
## 868 24200 3 Y Yes 17
## 869 20100 4 Y Yes 19
## 870 15986 5 Y No 11
## PerformanceRating RelationshipSatisfaction StandardHours StockOptionLevel
## 1 3 3 80 1
## 2 3 1 80 0
## 3 3 3 80 0
## 4 3 3 80 2
## 5 3 3 80 0
## 6 4 3 80 2
## 7 3 1 80 0
## 8 3 3 80 3
## 9 3 4 80 1
## 10 3 2 80 1
## 11 3 4 80 0
## 12 3 2 80 1
## 13 4 2 80 0
## 14 3 1 80 1
## 15 3 3 80 0
## 16 3 4 80 1
## 17 3 3 80 1
## 18 3 3 80 0
## 19 3 1 80 3
## 20 3 4 80 1
## 21 3 3 80 1
## 22 3 4 80 0
## 23 3 2 80 1
## 24 3 4 80 0
## 25 3 1 80 0
## 26 3 3 80 1
## 27 3 4 80 1
## 28 3 1 80 0
## 29 3 2 80 0
## 30 3 1 80 1
## 31 3 4 80 3
## 32 3 4 80 3
## 33 3 2 80 1
## 34 3 2 80 1
## 35 4 2 80 0
## 36 4 3 80 0
## 37 3 3 80 0
## 38 3 2 80 3
## 39 3 1 80 0
## 40 3 1 80 1
## 41 4 4 80 1
## 42 3 1 80 0
## 43 3 2 80 1
## 44 4 4 80 0
## 45 4 4 80 1
## 46 3 3 80 0
## 47 3 2 80 0
## 48 3 2 80 2
## 49 3 4 80 0
## 50 3 4 80 1
## 51 3 4 80 0
## 52 4 3 80 1
## 53 3 4 80 1
## 54 3 2 80 0
## 55 4 4 80 0
## 56 4 2 80 2
## 57 3 4 80 0
## 58 3 4 80 0
## 59 3 1 80 2
## 60 3 4 80 0
## 61 3 1 80 1
## 62 3 1 80 0
## 63 3 3 80 1
## 64 3 3 80 0
## 65 3 1 80 1
## 66 3 4 80 2
## 67 3 2 80 0
## 68 3 3 80 0
## 69 3 4 80 1
## 70 3 2 80 0
## 71 4 1 80 1
## 72 3 4 80 0
## 73 3 1 80 0
## 74 3 1 80 1
## 75 3 3 80 0
## 76 4 4 80 0
## 77 3 4 80 0
## 78 3 2 80 0
## 79 3 4 80 0
## 80 3 3 80 3
## 81 3 1 80 0
## 82 3 2 80 1
## 83 3 4 80 1
## 84 3 1 80 2
## 85 3 4 80 0
## 86 3 1 80 0
## 87 3 4 80 0
## 88 4 4 80 1
## 89 3 4 80 0
## 90 3 4 80 0
## 91 4 3 80 1
## 92 3 1 80 1
## 93 3 2 80 0
## 94 3 3 80 0
## 95 3 2 80 0
## 96 4 3 80 0
## 97 3 4 80 1
## 98 3 4 80 1
## 99 3 3 80 3
## 100 3 1 80 1
## 101 3 2 80 0
## 102 3 1 80 1
## 103 3 1 80 1
## 104 3 1 80 1
## 105 3 2 80 0
## 106 4 2 80 1
## 107 3 1 80 1
## 108 3 1 80 1
## 109 4 4 80 1
## 110 3 4 80 0
## 111 3 4 80 1
## 112 3 2 80 1
## 113 3 4 80 0
## 114 3 1 80 1
## 115 3 4 80 3
## 116 3 4 80 0
## 117 3 2 80 0
## 118 3 1 80 1
## 119 3 1 80 1
## 120 3 4 80 0
## 121 3 1 80 1
## 122 3 4 80 0
## 123 3 3 80 1
## 124 4 1 80 0
## 125 3 1 80 0
## 126 3 4 80 0
## 127 4 2 80 0
## 128 3 4 80 2
## 129 3 1 80 0
## 130 3 4 80 1
## 131 3 2 80 1
## 132 3 3 80 0
## 133 3 4 80 3
## 134 4 3 80 0
## 135 3 2 80 1
## 136 4 4 80 1
## 137 3 4 80 1
## 138 3 3 80 1
## 139 4 4 80 0
## 140 3 1 80 0
## 141 3 1 80 1
## 142 3 4 80 2
## 143 3 2 80 1
## 144 3 2 80 1
## 145 4 2 80 3
## 146 3 1 80 1
## 147 3 4 80 1
## 148 3 4 80 1
## 149 4 4 80 0
## 150 4 2 80 1
## 151 3 3 80 0
## 152 3 4 80 0
## 153 3 3 80 1
## 154 3 1 80 0
## 155 3 2 80 2
## 156 3 2 80 1
## 157 3 3 80 1
## 158 3 4 80 3
## 159 3 3 80 1
## 160 3 3 80 0
## 161 3 3 80 2
## 162 3 1 80 0
## 163 3 4 80 0
## 164 3 3 80 0
## 165 3 3 80 2
## 166 3 4 80 0
## 167 3 2 80 2
## 168 3 3 80 1
## 169 3 2 80 2
## 170 4 1 80 1
## 171 4 4 80 1
## 172 3 3 80 1
## 173 3 4 80 0
## 174 3 4 80 2
## 175 3 3 80 1
## 176 3 3 80 0
## 177 3 4 80 1
## 178 3 2 80 1
## 179 3 4 80 0
## 180 4 3 80 0
## 181 3 2 80 1
## 182 3 4 80 1
## 183 3 4 80 0
## 184 3 4 80 0
## 185 3 1 80 1
## 186 4 4 80 1
## 187 3 3 80 2
## 188 3 3 80 3
## 189 3 1 80 2
## 190 3 2 80 0
## 191 3 4 80 2
## 192 3 4 80 2
## 193 3 3 80 1
## 194 3 1 80 1
## 195 3 4 80 0
## 196 3 2 80 0
## 197 4 2 80 2
## 198 3 2 80 1
## 199 3 4 80 1
## 200 4 4 80 1
## 201 3 4 80 0
## 202 3 2 80 2
## 203 3 3 80 1
## 204 3 4 80 0
## 205 3 1 80 1
## 206 3 4 80 0
## 207 3 2 80 0
## 208 3 2 80 0
## 209 3 4 80 1
## 210 3 3 80 1
## 211 4 3 80 1
## 212 3 2 80 0
## 213 3 1 80 0
## 214 3 4 80 1
## 215 3 4 80 0
## 216 3 3 80 1
## 217 3 3 80 1
## 218 3 2 80 1
## 219 3 3 80 0
## 220 4 2 80 0
## 221 4 3 80 0
## 222 3 4 80 2
## 223 4 3 80 1
## 224 3 4 80 1
## 225 3 4 80 2
## 226 3 3 80 0
## 227 3 3 80 1
## 228 3 1 80 1
## 229 4 1 80 1
## 230 3 2 80 1
## 231 3 1 80 2
## 232 3 1 80 0
## 233 3 3 80 0
## 234 3 4 80 1
## 235 3 4 80 2
## 236 3 3 80 0
## 237 3 1 80 0
## 238 3 4 80 1
## 239 3 3 80 0
## 240 3 3 80 3
## 241 4 4 80 1
## 242 4 3 80 0
## 243 4 4 80 1
## 244 3 1 80 0
## 245 3 3 80 1
## 246 3 3 80 3
## 247 3 3 80 0
## 248 3 2 80 1
## 249 3 1 80 2
## 250 3 2 80 1
## 251 3 3 80 3
## 252 3 4 80 2
## 253 3 4 80 0
## 254 3 3 80 0
## 255 3 3 80 1
## 256 3 3 80 0
## 257 3 3 80 1
## 258 3 2 80 2
## 259 3 4 80 3
## 260 3 3 80 1
## 261 3 3 80 0
## 262 3 3 80 0
## 263 3 3 80 1
## 264 3 2 80 1
## 265 3 3 80 1
## 266 3 3 80 1
## 267 3 4 80 2
## 268 3 1 80 0
## 269 4 3 80 3
## 270 3 3 80 1
## 271 4 2 80 2
## 272 3 3 80 1
## 273 4 4 80 1
## 274 3 1 80 2
## 275 3 4 80 0
## 276 3 4 80 1
## 277 3 4 80 1
## 278 3 1 80 0
## 279 3 4 80 0
## 280 3 2 80 0
## 281 3 1 80 1
## 282 3 3 80 0
## 283 3 4 80 1
## 284 3 4 80 3
## 285 3 4 80 1
## 286 3 2 80 1
## 287 4 1 80 0
## 288 3 3 80 1
## 289 3 3 80 1
## 290 3 2 80 1
## 291 3 4 80 2
## 292 3 3 80 1
## 293 3 4 80 0
## 294 3 1 80 2
## 295 4 4 80 0
## 296 3 3 80 1
## 297 3 3 80 0
## 298 4 4 80 0
## 299 4 1 80 0
## 300 3 4 80 0
## 301 3 4 80 1
## 302 4 4 80 1
## 303 3 4 80 1
## 304 3 2 80 0
## 305 4 1 80 0
## 306 3 4 80 0
## 307 3 2 80 0
## 308 3 4 80 3
## 309 3 4 80 2
## 310 4 3 80 1
## 311 3 2 80 1
## 312 3 3 80 0
## 313 3 1 80 0
## 314 3 3 80 0
## 315 3 4 80 0
## 316 3 3 80 0
## 317 3 4 80 1
## 318 3 2 80 0
## 319 3 4 80 2
## 320 3 4 80 0
## 321 4 3 80 0
## 322 3 4 80 1
## 323 3 2 80 1
## 324 4 1 80 3
## 325 3 3 80 1
## 326 3 3 80 0
## 327 3 4 80 1
## 328 3 3 80 1
## 329 3 3 80 1
## 330 3 3 80 1
## 331 3 1 80 0
## 332 3 3 80 0
## 333 3 3 80 3
## 334 3 4 80 0
## 335 4 4 80 1
## 336 4 2 80 0
## 337 3 4 80 1
## 338 3 3 80 0
## 339 3 4 80 0
## 340 3 4 80 1
## 341 3 4 80 1
## 342 3 2 80 1
## 343 3 3 80 1
## 344 4 3 80 1
## 345 3 3 80 3
## 346 3 1 80 0
## 347 3 4 80 0
## 348 4 1 80 1
## 349 3 4 80 0
## 350 3 3 80 0
## 351 3 2 80 1
## 352 3 2 80 1
## 353 3 4 80 1
## 354 3 3 80 0
## 355 3 4 80 1
## 356 3 4 80 0
## 357 3 3 80 0
## 358 3 2 80 0
## 359 4 2 80 1
## 360 3 3 80 1
## 361 3 1 80 1
## 362 3 4 80 0
## 363 3 4 80 1
## 364 3 4 80 1
## 365 3 4 80 1
## 366 3 4 80 3
## 367 3 3 80 2
## 368 3 4 80 0
## 369 3 4 80 1
## 370 3 3 80 0
## 371 3 3 80 1
## 372 3 3 80 0
## 373 3 1 80 1
## 374 3 1 80 1
## 375 3 1 80 0
## 376 3 4 80 0
## 377 3 3 80 0
## 378 3 3 80 2
## 379 3 1 80 1
## 380 3 2 80 0
## 381 3 2 80 1
## 382 4 4 80 1
## 383 3 1 80 3
## 384 3 3 80 1
## 385 3 3 80 3
## 386 3 2 80 1
## 387 3 1 80 0
## 388 3 2 80 2
## 389 3 3 80 0
## 390 3 3 80 0
## 391 3 2 80 1
## 392 3 3 80 1
## 393 3 4 80 1
## 394 3 4 80 0
## 395 3 4 80 0
## 396 3 2 80 1
## 397 3 3 80 0
## 398 3 4 80 0
## 399 4 1 80 1
## 400 3 2 80 0
## 401 4 3 80 0
## 402 3 2 80 1
## 403 3 3 80 0
## 404 3 3 80 2
## 405 3 4 80 0
## 406 3 3 80 1
## 407 3 1 80 2
## 408 3 3 80 1
## 409 3 3 80 0
## 410 4 3 80 1
## 411 4 3 80 0
## 412 3 2 80 0
## 413 4 1 80 0
## 414 3 3 80 0
## 415 3 4 80 1
## 416 3 3 80 1
## 417 3 3 80 0
## 418 3 4 80 2
## 419 3 2 80 1
## 420 3 3 80 0
## 421 3 3 80 0
## 422 3 1 80 2
## 423 3 2 80 0
## 424 3 3 80 0
## 425 3 3 80 1
## 426 3 3 80 1
## 427 3 2 80 2
## 428 3 1 80 0
## 429 3 4 80 0
## 430 3 2 80 1
## 431 3 1 80 0
## 432 3 2 80 1
## 433 4 1 80 0
## 434 3 3 80 1
## 435 3 2 80 1
## 436 3 1 80 1
## 437 3 4 80 0
## 438 3 4 80 0
## 439 3 3 80 0
## 440 3 3 80 0
## 441 3 4 80 0
## 442 3 3 80 1
## 443 3 3 80 0
## 444 3 1 80 3
## 445 3 3 80 1
## 446 3 3 80 1
## 447 3 4 80 2
## 448 3 3 80 2
## 449 3 4 80 0
## 450 3 1 80 1
## 451 3 1 80 1
## 452 3 3 80 0
## 453 3 4 80 0
## 454 3 2 80 0
## 455 3 1 80 1
## 456 3 2 80 0
## 457 3 1 80 2
## 458 4 4 80 0
## 459 4 4 80 1
## 460 3 3 80 0
## 461 3 4 80 1
## 462 3 3 80 0
## 463 3 4 80 0
## 464 4 4 80 0
## 465 3 4 80 1
## 466 3 3 80 0
## 467 4 4 80 0
## 468 3 2 80 0
## 469 3 4 80 0
## 470 3 3 80 2
## 471 3 3 80 1
## 472 4 2 80 0
## 473 3 2 80 0
## 474 3 2 80 0
## 475 3 4 80 1
## 476 4 3 80 0
## 477 3 4 80 2
## 478 3 1 80 2
## 479 3 3 80 0
## 480 4 1 80 1
## 481 3 1 80 1
## 482 3 2 80 1
## 483 3 2 80 0
## 484 3 3 80 1
## 485 3 4 80 1
## 486 3 1 80 0
## 487 3 3 80 0
## 488 3 4 80 1
## 489 3 4 80 0
## 490 3 4 80 0
## 491 3 4 80 0
## 492 3 2 80 0
## 493 3 3 80 0
## 494 3 4 80 0
## 495 3 1 80 1
## 496 3 3 80 1
## 497 4 4 80 2
## 498 3 3 80 3
## 499 3 2 80 2
## 500 3 3 80 1
## 501 3 4 80 0
## 502 3 2 80 0
## 503 3 3 80 2
## 504 3 3 80 1
## 505 3 2 80 2
## 506 3 1 80 1
## 507 3 2 80 0
## 508 3 2 80 0
## 509 3 3 80 1
## 510 3 4 80 0
## 511 3 3 80 1
## 512 4 2 80 1
## 513 3 1 80 1
## 514 3 3 80 0
## 515 4 3 80 0
## 516 3 4 80 1
## 517 3 3 80 3
## 518 4 2 80 3
## 519 3 1 80 1
## 520 3 4 80 0
## 521 3 3 80 0
## 522 3 3 80 3
## 523 3 3 80 1
## 524 3 3 80 1
## 525 3 1 80 1
## 526 3 1 80 1
## 527 3 1 80 1
## 528 3 4 80 0
## 529 3 1 80 0
## 530 3 1 80 3
## 531 3 1 80 1
## 532 3 1 80 0
## 533 4 3 80 1
## 534 3 2 80 1
## 535 3 4 80 0
## 536 3 4 80 3
## 537 3 3 80 0
## 538 3 3 80 1
## 539 3 2 80 0
## 540 3 4 80 0
## 541 3 1 80 3
## 542 3 2 80 1
## 543 3 4 80 1
## 544 3 2 80 0
## 545 3 3 80 0
## 546 3 2 80 0
## 547 3 3 80 1
## 548 3 4 80 0
## 549 3 3 80 1
## 550 3 1 80 0
## 551 3 2 80 1
## 552 3 4 80 1
## 553 4 4 80 0
## 554 3 1 80 2
## 555 3 4 80 1
## 556 3 3 80 1
## 557 3 3 80 0
## 558 3 4 80 1
## 559 3 4 80 1
## 560 3 2 80 1
## 561 3 3 80 0
## 562 3 2 80 0
## 563 3 2 80 1
## 564 4 3 80 1
## 565 4 3 80 2
## 566 3 3 80 0
## 567 3 4 80 0
## 568 3 4 80 1
## 569 3 1 80 0
## 570 3 4 80 1
## 571 4 3 80 1
## 572 3 1 80 0
## 573 3 3 80 1
## 574 4 3 80 2
## 575 4 4 80 2
## 576 3 3 80 1
## 577 3 1 80 0
## 578 3 4 80 0
## 579 3 4 80 0
## 580 3 2 80 2
## 581 3 3 80 3
## 582 3 2 80 0
## 583 3 3 80 1
## 584 4 1 80 0
## 585 3 4 80 0
## 586 3 3 80 1
## 587 3 4 80 3
## 588 4 2 80 0
## 589 3 1 80 0
## 590 3 3 80 1
## 591 3 2 80 0
## 592 4 3 80 0
## 593 3 4 80 1
## 594 3 4 80 1
## 595 3 4 80 2
## 596 4 1 80 1
## 597 3 1 80 0
## 598 4 2 80 1
## 599 4 2 80 1
## 600 3 1 80 1
## 601 3 3 80 1
## 602 3 2 80 1
## 603 3 3 80 3
## 604 3 1 80 1
## 605 3 3 80 0
## 606 3 3 80 0
## 607 3 4 80 0
## 608 4 3 80 1
## 609 3 4 80 0
## 610 3 4 80 0
## 611 3 2 80 1
## 612 3 1 80 0
## 613 4 1 80 0
## 614 3 2 80 0
## 615 3 1 80 1
## 616 3 3 80 1
## 617 3 4 80 0
## 618 4 3 80 1
## 619 3 1 80 1
## 620 3 3 80 2
## 621 3 2 80 0
## 622 3 3 80 0
## 623 3 3 80 0
## 624 3 3 80 0
## 625 3 3 80 0
## 626 3 2 80 3
## 627 3 3 80 2
## 628 3 2 80 1
## 629 3 2 80 1
## 630 3 2 80 0
## 631 4 2 80 1
## 632 4 1 80 0
## 633 3 3 80 0
## 634 4 1 80 1
## 635 3 1 80 1
## 636 3 2 80 1
## 637 3 4 80 1
## 638 3 3 80 1
## 639 3 2 80 2
## 640 3 2 80 1
## 641 4 2 80 1
## 642 3 2 80 1
## 643 3 2 80 0
## 644 4 2 80 1
## 645 3 1 80 1
## 646 3 1 80 1
## 647 3 4 80 0
## 648 3 3 80 3
## 649 3 2 80 0
## 650 3 2 80 0
## 651 3 2 80 0
## 652 3 2 80 1
## 653 3 3 80 0
## 654 4 2 80 1
## 655 3 3 80 0
## 656 3 3 80 1
## 657 3 4 80 2
## 658 4 1 80 1
## 659 3 4 80 0
## 660 3 3 80 0
## 661 3 4 80 2
## 662 3 3 80 1
## 663 3 2 80 1
## 664 4 1 80 1
## 665 4 3 80 0
## 666 3 4 80 0
## 667 3 4 80 1
## 668 3 1 80 3
## 669 3 1 80 1
## 670 3 1 80 0
## 671 3 1 80 0
## 672 3 3 80 2
## 673 3 4 80 0
## 674 3 1 80 1
## 675 3 1 80 0
## 676 3 3 80 1
## 677 3 1 80 1
## 678 3 1 80 1
## 679 3 2 80 3
## 680 3 2 80 0
## 681 3 1 80 0
## 682 4 1 80 1
## 683 3 2 80 2
## 684 3 2 80 1
## 685 3 3 80 1
## 686 4 4 80 1
## 687 3 1 80 0
## 688 4 4 80 0
## 689 4 3 80 0
## 690 3 4 80 3
## 691 3 3 80 0
## 692 3 4 80 1
## 693 4 2 80 0
## 694 4 3 80 0
## 695 3 3 80 2
## 696 3 1 80 0
## 697 4 2 80 1
## 698 3 4 80 0
## 699 3 3 80 0
## 700 3 1 80 1
## 701 3 4 80 0
## 702 4 1 80 0
## 703 3 2 80 1
## 704 3 3 80 0
## 705 3 4 80 0
## 706 3 4 80 0
## 707 3 2 80 1
## 708 3 4 80 0
## 709 3 2 80 1
## 710 3 4 80 1
## 711 4 4 80 2
## 712 3 3 80 1
## 713 3 3 80 0
## 714 3 1 80 1
## 715 3 2 80 0
## 716 3 3 80 1
## 717 3 1 80 1
## 718 3 4 80 0
## 719 4 1 80 0
## 720 3 2 80 3
## 721 3 3 80 1
## 722 3 1 80 3
## 723 3 3 80 2
## 724 3 2 80 0
## 725 3 4 80 0
## 726 3 4 80 2
## 727 3 2 80 1
## 728 3 4 80 1
## 729 3 2 80 0
## 730 3 3 80 1
## 731 4 3 80 1
## 732 3 1 80 0
## 733 3 1 80 0
## 734 3 4 80 0
## 735 3 3 80 0
## 736 3 2 80 0
## 737 3 1 80 1
## 738 3 4 80 0
## 739 3 2 80 0
## 740 3 4 80 0
## 741 3 4 80 0
## 742 4 3 80 1
## 743 3 1 80 0
## 744 3 3 80 0
## 745 4 2 80 1
## 746 3 2 80 3
## 747 3 4 80 3
## 748 4 3 80 0
## 749 3 2 80 3
## 750 3 1 80 0
## 751 3 2 80 0
## 752 3 1 80 0
## 753 3 3 80 1
## 754 4 3 80 3
## 755 3 1 80 1
## 756 3 3 80 0
## 757 4 4 80 1
## 758 3 2 80 1
## 759 3 4 80 1
## 760 3 1 80 0
## 761 4 3 80 0
## 762 3 3 80 1
## 763 3 1 80 0
## 764 3 1 80 1
## 765 3 3 80 1
## 766 3 1 80 0
## 767 3 3 80 0
## 768 3 3 80 1
## 769 3 3 80 1
## 770 3 4 80 1
## 771 3 3 80 0
## 772 4 3 80 3
## 773 4 4 80 0
## 774 3 1 80 1
## 775 3 3 80 1
## 776 3 4 80 0
## 777 4 1 80 1
## 778 3 3 80 3
## 779 4 3 80 0
## 780 3 2 80 3
## 781 4 4 80 0
## 782 3 1 80 0
## 783 3 3 80 1
## 784 3 1 80 1
## 785 3 4 80 1
## 786 3 3 80 0
## 787 3 4 80 0
## 788 3 1 80 0
## 789 3 2 80 3
## 790 3 4 80 0
## 791 4 1 80 1
## 792 3 4 80 0
## 793 3 4 80 1
## 794 3 2 80 3
## 795 3 1 80 2
## 796 3 1 80 0
## 797 3 2 80 0
## 798 3 3 80 0
## 799 4 2 80 0
## 800 4 1 80 1
## 801 3 1 80 2
## 802 3 3 80 0
## 803 3 4 80 0
## 804 4 1 80 0
## 805 3 3 80 1
## 806 3 4 80 1
## 807 3 2 80 0
## 808 4 1 80 2
## 809 3 2 80 1
## 810 3 4 80 1
## 811 3 3 80 2
## 812 3 2 80 1
## 813 3 4 80 1
## 814 3 3 80 1
## 815 3 4 80 1
## 816 3 2 80 1
## 817 4 2 80 0
## 818 3 4 80 0
## 819 3 4 80 0
## 820 3 4 80 0
## 821 3 4 80 2
## 822 3 4 80 1
## 823 4 4 80 2
## 824 3 3 80 1
## 825 3 2 80 2
## 826 3 4 80 2
## 827 3 1 80 3
## 828 3 4 80 0
## 829 3 2 80 1
## 830 3 3 80 1
## 831 3 3 80 1
## 832 3 4 80 0
## 833 3 3 80 3
## 834 4 3 80 0
## 835 3 4 80 1
## 836 3 4 80 1
## 837 3 4 80 0
## 838 3 4 80 0
## 839 3 3 80 1
## 840 3 4 80 0
## 841 3 3 80 0
## 842 3 1 80 0
## 843 4 3 80 0
## 844 3 4 80 1
## 845 3 1 80 0
## 846 3 4 80 1
## 847 3 4 80 0
## 848 3 1 80 3
## 849 3 1 80 2
## 850 3 1 80 1
## 851 3 3 80 1
## 852 3 1 80 0
## 853 3 4 80 0
## 854 3 3 80 0
## 855 3 4 80 0
## 856 3 1 80 1
## 857 3 3 80 0
## 858 4 1 80 1
## 859 4 4 80 1
## 860 3 4 80 1
## 861 3 2 80 0
## 862 3 4 80 0
## 863 3 2 80 0
## 864 3 4 80 2
## 865 3 4 80 2
## 866 3 3 80 0
## 867 3 1 80 0
## 868 3 3 80 1
## 869 3 3 80 1
## 870 3 4 80 0
## TotalWorkingYears TrainingTimesLastYear WorkLifeBalance YearsAtCompany
## 1 8 3 2 5
## 2 21 2 4 20
## 3 10 2 3 2
## 4 14 3 3 14
## 5 6 2 3 6
## 6 9 4 2 9
## 7 7 5 2 4
## 8 8 5 3 1
## 9 1 2 3 1
## 10 8 3 2 8
## 11 21 2 3 16
## 12 3 2 3 3
## 13 17 3 4 8
## 14 1 3 3 1
## 15 10 3 4 7
## 16 9 2 2 9
## 17 8 2 4 8
## 18 7 2 4 1
## 19 6 3 3 5
## 20 10 5 3 2
## 21 13 2 3 3
## 22 12 3 3 2
## 23 10 3 3 8
## 24 10 3 3 5
## 25 6 3 3 5
## 26 26 5 3 22
## 27 10 3 3 9
## 28 6 3 3 5
## 29 15 2 2 2
## 30 5 3 3 4
## 31 9 2 4 8
## 32 14 6 3 14
## 33 28 2 2 7
## 34 10 2 3 8
## 35 8 1 3 1
## 36 5 3 1 5
## 37 15 3 3 13
## 38 16 3 3 2
## 39 36 4 3 7
## 40 3 4 3 2
## 41 37 0 2 16
## 42 9 3 3 8
## 43 17 2 2 2
## 44 24 2 3 1
## 45 1 2 3 1
## 46 12 3 3 12
## 47 10 2 3 0
## 48 9 2 3 8
## 49 0 3 3 0
## 50 6 1 1 2
## 51 8 3 2 0
## 52 32 3 3 9
## 53 10 5 3 10
## 54 9 5 2 9
## 55 11 2 3 11
## 56 5 2 3 5
## 57 7 2 3 2
## 58 10 3 3 10
## 59 15 2 3 5
## 60 1 4 3 1
## 61 16 6 3 16
## 62 10 0 3 7
## 63 3 1 3 2
## 64 0 4 1 0
## 65 1 3 1 1
## 66 7 5 2 6
## 67 17 3 3 17
## 68 5 6 4 5
## 69 5 2 2 3
## 70 17 3 3 17
## 71 12 3 3 5
## 72 6 4 3 5
## 73 8 1 3 1
## 74 6 4 3 1
## 75 10 2 2 8
## 76 12 2 3 12
## 77 10 3 3 10
## 78 27 5 1 26
## 79 23 2 3 19
## 80 1 4 3 1
## 81 15 2 1 1
## 82 17 3 3 7
## 83 10 1 3 8
## 84 13 2 3 7
## 85 18 2 3 16
## 86 30 4 3 5
## 87 20 2 3 7
## 88 5 2 1 4
## 89 9 0 3 9
## 90 22 2 2 2
## 91 1 3 3 1
## 92 11 3 1 11
## 93 7 3 3 0
## 94 10 4 3 5
## 95 21 5 3 5
## 96 20 3 3 20
## 97 23 2 4 13
## 98 17 2 4 1
## 99 4 3 3 3
## 100 7 2 2 5
## 101 6 3 4 5
## 102 13 5 3 13
## 103 6 3 3 3
## 104 5 3 4 3
## 105 35 2 2 9
## 106 8 2 3 8
## 107 10 1 3 10
## 108 35 0 3 10
## 109 13 2 4 9
## 110 4 4 3 4
## 111 3 2 3 3
## 112 26 2 2 9
## 113 18 4 3 8
## 114 16 2 4 1
## 115 15 2 3 7
## 116 10 2 3 10
## 117 5 4 3 4
## 118 10 2 3 4
## 119 13 2 3 9
## 120 14 2 4 14
## 121 10 2 3 8
## 122 2 6 3 2
## 123 18 2 3 5
## 124 8 2 3 7
## 125 10 3 2 10
## 126 10 2 3 10
## 127 10 5 3 10
## 128 10 2 2 9
## 129 20 3 1 20
## 130 25 5 3 19
## 131 10 3 2 10
## 132 8 1 4 5
## 133 7 4 4 6
## 134 7 3 3 5
## 135 9 3 4 9
## 136 8 2 3 8
## 137 1 1 3 1
## 138 22 2 3 10
## 139 8 2 1 2
## 140 12 3 3 5
## 141 33 0 3 19
## 142 2 3 3 2
## 143 13 3 3 8
## 144 7 5 4 5
## 145 15 0 3 12
## 146 4 3 2 4
## 147 8 5 3 8
## 148 8 6 1 2
## 149 6 2 3 4
## 150 6 5 2 5
## 151 9 2 1 3
## 152 10 2 2 10
## 153 13 3 2 13
## 154 11 3 1 3
## 155 1 3 3 1
## 156 4 2 4 2
## 157 15 4 3 11
## 158 21 4 3 18
## 159 18 1 3 8
## 160 20 6 3 1
## 161 10 1 2 10
## 162 10 2 2 10
## 163 6 3 3 5
## 164 10 1 3 3
## 165 12 3 2 11
## 166 2 3 2 2
## 167 27 2 3 4
## 168 10 2 3 6
## 169 18 3 3 10
## 170 11 1 3 7
## 171 10 2 2 8
## 172 16 4 4 8
## 173 28 3 2 2
## 174 10 3 3 9
## 175 22 3 4 17
## 176 2 6 4 2
## 177 24 2 3 5
## 178 6 2 3 3
## 179 9 2 3 9
## 180 12 2 4 8
## 181 15 2 4 7
## 182 11 3 3 7
## 183 18 2 3 3
## 184 9 3 3 2
## 185 8 3 3 8
## 186 5 3 2 5
## 187 7 6 3 7
## 188 29 2 3 3
## 189 28 4 2 10
## 190 5 3 4 5
## 191 11 2 3 10
## 192 9 3 3 3
## 193 19 5 2 10
## 194 14 2 3 9
## 195 5 2 3 4
## 196 1 0 2 1
## 197 10 4 3 4
## 198 22 3 3 9
## 199 24 4 3 22
## 200 1 2 3 1
## 201 22 2 2 1
## 202 10 3 3 10
## 203 14 3 3 14
## 204 10 4 3 7
## 205 6 5 3 4
## 206 8 0 3 8
## 207 7 2 2 4
## 208 17 2 3 1
## 209 8 3 3 3
## 210 12 2 3 9
## 211 21 3 3 20
## 212 21 3 4 1
## 213 4 2 3 1
## 214 8 4 3 4
## 215 5 0 3 4
## 216 8 3 4 3
## 217 18 4 3 1
## 218 24 3 3 22
## 219 5 4 2 5
## 220 8 2 2 8
## 221 6 5 3 6
## 222 5 4 3 1
## 223 7 2 3 6
## 224 1 2 1 1
## 225 10 0 4 5
## 226 12 6 2 12
## 227 1 3 3 1
## 228 4 2 2 4
## 229 4 2 2 3
## 230 30 3 3 15
## 231 10 3 3 10
## 232 2 3 3 2
## 233 25 3 1 23
## 234 16 4 3 6
## 235 25 3 4 25
## 236 17 2 1 14
## 237 24 2 2 22
## 238 6 2 2 6
## 239 6 3 3 2
## 240 19 3 3 14
## 241 10 5 2 10
## 242 22 4 3 0
## 243 6 3 3 5
## 244 6 2 3 3
## 245 10 2 2 10
## 246 8 5 3 4
## 247 11 2 2 11
## 248 3 2 3 2
## 249 12 4 2 6
## 250 22 2 3 18
## 251 1 2 2 1
## 252 12 3 3 7
## 253 1 3 3 1
## 254 2 4 3 1
## 255 16 5 3 9
## 256 7 2 2 3
## 257 2 5 2 2
## 258 8 3 3 3
## 259 9 3 3 5
## 260 7 2 2 2
## 261 3 3 4 1
## 262 11 2 1 9
## 263 8 2 1 5
## 264 3 5 3 3
## 265 6 2 3 5
## 266 6 5 3 5
## 267 16 3 2 14
## 268 1 2 3 1
## 269 9 2 3 9
## 270 7 1 2 6
## 271 10 3 4 8
## 272 11 2 3 11
## 273 9 5 3 9
## 274 11 3 2 3
## 275 36 3 3 24
## 276 28 2 3 5
## 277 2 1 3 2
## 278 9 5 3 8
## 279 6 1 3 6
## 280 4 2 3 3
## 281 10 3 3 10
## 282 20 3 3 18
## 283 12 3 3 5
## 284 13 3 3 7
## 285 7 2 4 7
## 286 15 3 3 15
## 287 1 2 3 1
## 288 3 2 3 2
## 289 10 6 3 9
## 290 3 1 2 3
## 291 8 2 3 5
## 292 11 3 3 9
## 293 7 2 2 7
## 294 14 3 1 13
## 295 21 2 3 21
## 296 5 3 3 2
## 297 10 2 2 10
## 298 9 3 3 9
## 299 4 0 3 3
## 300 5 4 2 3
## 301 10 3 3 10
## 302 9 3 2 9
## 303 8 1 3 4
## 304 10 5 3 10
## 305 7 4 3 1
## 306 6 2 2 5
## 307 8 5 3 1
## 308 6 2 3 0
## 309 17 3 3 8
## 310 4 4 3 3
## 311 9 3 2 2
## 312 22 3 3 20
## 313 7 2 1 7
## 314 10 2 3 1
## 315 10 1 3 2
## 316 9 0 3 9
## 317 6 3 3 4
## 318 4 2 2 4
## 319 8 2 4 5
## 320 1 2 3 1
## 321 5 3 3 3
## 322 10 4 2 10
## 323 10 3 2 5
## 324 19 2 3 16
## 325 21 3 3 21
## 326 1 2 3 1
## 327 23 4 2 22
## 328 9 3 2 4
## 329 20 3 3 20
## 330 21 5 3 20
## 331 23 2 3 8
## 332 14 2 2 14
## 333 6 2 2 5
## 334 9 3 3 9
## 335 30 3 3 3
## 336 14 4 3 13
## 337 5 3 3 5
## 338 7 1 2 6
## 339 5 4 3 0
## 340 1 6 3 1
## 341 6 3 4 1
## 342 2 2 3 2
## 343 9 2 3 3
## 344 1 2 3 1
## 345 8 3 3 4
## 346 21 3 3 20
## 347 5 3 2 3
## 348 6 6 1 6
## 349 6 3 3 0
## 350 30 1 2 10
## 351 18 3 4 13
## 352 10 3 2 8
## 353 16 3 1 1
## 354 8 2 3 2
## 355 23 3 4 22
## 356 15 2 3 13
## 357 5 3 2 5
## 358 6 2 4 2
## 359 9 3 3 9
## 360 16 4 3 15
## 361 34 5 3 33
## 362 1 3 3 1
## 363 33 3 3 32
## 364 22 5 3 21
## 365 23 5 3 19
## 366 36 0 2 7
## 367 15 2 4 11
## 368 9 5 4 8
## 369 4 2 3 2
## 370 10 0 2 7
## 371 4 1 3 4
## 372 10 3 3 9
## 373 24 2 3 24
## 374 8 2 1 8
## 375 2 3 3 2
## 376 32 2 3 32
## 377 18 1 3 17
## 378 14 4 3 0
## 379 6 2 2 5
## 380 7 2 3 5
## 381 21 2 3 3
## 382 8 3 3 8
## 383 15 3 3 2
## 384 3 3 3 0
## 385 18 2 4 10
## 386 15 3 3 15
## 387 10 3 4 10
## 388 8 2 4 3
## 389 17 2 2 13
## 390 3 3 3 3
## 391 6 1 3 3
## 392 5 2 2 2
## 393 4 3 4 4
## 394 22 5 4 18
## 395 8 2 3 2
## 396 3 2 1 2
## 397 26 2 1 3
## 398 2 0 3 2
## 399 13 2 2 13
## 400 16 2 2 2
## 401 11 2 3 5
## 402 11 5 3 5
## 403 7 2 3 2
## 404 9 6 3 3
## 405 6 3 2 6
## 406 21 3 2 1
## 407 13 3 3 12
## 408 7 4 3 7
## 409 31 3 3 25
## 410 22 3 3 4
## 411 6 3 3 5
## 412 10 3 3 10
## 413 8 1 3 1
## 414 4 2 4 0
## 415 3 3 2 2
## 416 15 6 3 7
## 417 12 2 2 11
## 418 4 2 3 1
## 419 14 2 2 14
## 420 10 2 3 10
## 421 5 2 3 5
## 422 15 2 3 13
## 423 12 3 2 7
## 424 0 5 4 0
## 425 5 0 3 5
## 426 18 5 3 1
## 427 1 2 2 1
## 428 3 4 4 3
## 429 4 2 1 3
## 430 13 3 3 11
## 431 5 3 3 5
## 432 6 0 3 4
## 433 20 2 3 4
## 434 1 2 3 1
## 435 11 2 2 1
## 436 8 3 3 8
## 437 5 3 2 2
## 438 8 6 2 7
## 439 3 2 3 3
## 440 10 4 2 9
## 441 10 2 3 8
## 442 9 2 3 5
## 443 5 5 1 0
## 444 8 2 3 2
## 445 24 3 3 2
## 446 17 2 2 6
## 447 19 4 4 13
## 448 10 2 2 0
## 449 10 2 3 10
## 450 10 2 3 10
## 451 10 6 3 9
## 452 6 3 2 5
## 453 10 2 3 10
## 454 10 2 2 10
## 455 21 3 1 3
## 456 21 3 2 21
## 457 10 2 3 10
## 458 11 2 1 10
## 459 5 3 4 3
## 460 10 2 2 10
## 461 8 4 3 2
## 462 15 4 3 4
## 463 16 3 3 2
## 464 9 3 2 5
## 465 6 4 3 1
## 466 6 3 3 3
## 467 7 3 2 3
## 468 5 3 3 1
## 469 7 6 3 2
## 470 5 3 3 4
## 471 6 3 2 5
## 472 1 3 2 1
## 473 17 3 4 0
## 474 9 2 2 6
## 475 4 5 2 4
## 476 14 4 3 9
## 477 9 2 3 1
## 478 8 5 3 0
## 479 12 2 1 5
## 480 16 2 3 16
## 481 6 5 2 5
## 482 8 2 3 6
## 483 16 3 3 15
## 484 19 3 3 2
## 485 40 3 2 40
## 486 8 0 1 6
## 487 1 3 2 1
## 488 5 1 2 5
## 489 23 2 3 1
## 490 10 2 3 5
## 491 22 4 3 3
## 492 25 2 3 3
## 493 8 2 3 5
## 494 11 3 1 11
## 495 10 4 3 10
## 496 29 2 2 20
## 497 8 3 2 2
## 498 4 3 2 4
## 499 17 3 2 7
## 500 10 1 3 3
## 501 31 0 2 10
## 502 6 4 3 4
## 503 19 3 3 9
## 504 10 1 3 10
## 505 26 2 4 20
## 506 12 2 3 7
## 507 1 2 3 1
## 508 14 5 3 4
## 509 13 2 3 9
## 510 23 0 3 22
## 511 10 1 3 10
## 512 13 2 3 6
## 513 10 3 2 5
## 514 15 1 3 15
## 515 3 3 2 3
## 516 13 3 3 4
## 517 1 2 3 1
## 518 7 6 2 5
## 519 10 6 3 9
## 520 5 3 3 4
## 521 6 3 3 5
## 522 1 3 3 1
## 523 25 2 3 1
## 524 31 5 3 31
## 525 7 6 3 1
## 526 30 2 3 15
## 527 9 3 4 5
## 528 6 2 2 6
## 529 6 3 3 6
## 530 7 2 3 5
## 531 20 4 2 19
## 532 15 5 3 1
## 533 10 3 3 10
## 534 9 6 3 5
## 535 7 4 2 7
## 536 7 3 4 5
## 537 10 2 3 1
## 538 4 5 3 3
## 539 6 4 3 5
## 540 9 3 4 6
## 541 10 4 2 10
## 542 14 1 3 10
## 543 1 2 2 1
## 544 14 3 3 1
## 545 6 3 3 6
## 546 10 3 3 10
## 547 29 3 2 26
## 548 10 6 3 1
## 549 19 2 3 10
## 550 6 3 3 6
## 551 22 3 3 22
## 552 6 6 3 5
## 553 10 2 2 10
## 554 13 2 2 0
## 555 5 5 1 3
## 556 17 3 2 3
## 557 19 3 3 1
## 558 6 3 3 6
## 559 10 3 2 9
## 560 8 3 3 8
## 561 13 3 2 8
## 562 23 3 3 2
## 563 4 2 3 2
## 564 13 2 4 11
## 565 7 2 3 2
## 566 6 2 3 4
## 567 9 5 3 6
## 568 10 4 3 10
## 569 10 6 3 5
## 570 22 2 3 12
## 571 14 3 3 5
## 572 1 3 2 1
## 573 7 2 3 7
## 574 10 5 3 10
## 575 6 5 4 5
## 576 7 2 4 7
## 577 20 3 2 1
## 578 7 5 3 5
## 579 10 2 1 9
## 580 6 2 3 6
## 581 7 6 2 3
## 582 16 2 3 1
## 583 15 2 3 1
## 584 8 2 3 8
## 585 9 5 4 4
## 586 15 2 4 7
## 587 17 3 3 13
## 588 10 4 3 5
## 589 8 6 3 3
## 590 4 3 3 2
## 591 4 2 2 4
## 592 16 2 4 15
## 593 5 3 4 3
## 594 10 3 2 9
## 595 18 2 3 18
## 596 9 5 3 9
## 597 16 2 3 13
## 598 20 3 3 1
## 599 6 0 3 6
## 600 6 2 2 2
## 601 1 2 3 1
## 602 9 3 2 6
## 603 9 4 2 8
## 604 10 5 3 10
## 605 2 3 3 2
## 606 32 3 3 5
## 607 20 2 2 4
## 608 8 3 3 8
## 609 8 2 3 7
## 610 3 2 2 2
## 611 10 0 3 9
## 612 10 3 3 8
## 613 13 3 4 9
## 614 1 3 4 1
## 615 10 2 4 8
## 616 15 3 4 15
## 617 8 5 3 5
## 618 9 2 2 4
## 619 9 5 3 7
## 620 1 3 3 1
## 621 1 5 3 1
## 622 20 3 4 19
## 623 10 2 3 4
## 624 9 2 3 9
## 625 8 2 2 0
## 626 5 2 3 5
## 627 5 3 3 5
## 628 12 3 3 11
## 629 23 4 3 3
## 630 9 3 4 8
## 631 19 2 4 5
## 632 14 3 2 14
## 633 19 1 3 1
## 634 7 2 3 1
## 635 10 1 2 1
## 636 2 2 4 2
## 637 23 3 3 22
## 638 9 2 2 8
## 639 6 3 3 6
## 640 5 3 3 4
## 641 1 2 3 1
## 642 15 3 3 7
## 643 31 3 4 9
## 644 5 2 3 5
## 645 5 2 1 1
## 646 15 2 2 12
## 647 0 0 3 0
## 648 3 3 4 3
## 649 16 2 3 15
## 650 10 3 1 4
## 651 3 3 3 3
## 652 12 3 3 11
## 653 20 3 2 18
## 654 15 3 1 0
## 655 4 3 3 2
## 656 5 3 3 5
## 657 16 5 1 10
## 658 26 2 3 14
## 659 8 3 3 5
## 660 6 3 3 6
## 661 10 2 3 10
## 662 14 3 3 7
## 663 13 5 2 10
## 664 3 4 2 3
## 665 10 2 3 9
## 666 10 5 4 3
## 667 11 5 3 11
## 668 8 2 3 4
## 669 10 3 3 10
## 670 36 2 3 10
## 671 16 3 4 5
## 672 6 5 3 6
## 673 5 5 3 4
## 674 10 3 2 10
## 675 5 0 3 3
## 676 26 2 3 11
## 677 10 2 3 9
## 678 10 2 4 10
## 679 18 3 3 4
## 680 13 2 4 7
## 681 5 1 4 5
## 682 8 1 3 3
## 683 10 2 2 3
## 684 12 2 1 5
## 685 5 2 1 5
## 686 13 6 4 13
## 687 9 1 3 8
## 688 7 3 3 3
## 689 1 3 2 1
## 690 13 3 3 11
## 691 10 2 3 6
## 692 10 2 2 10
## 693 14 6 3 1
## 694 3 4 3 1
## 695 6 2 2 6
## 696 3 3 2 3
## 697 23 3 3 2
## 698 16 3 4 13
## 699 0 2 4 0
## 700 25 2 3 4
## 701 1 3 3 1
## 702 6 3 2 6
## 703 16 6 2 13
## 704 6 3 3 5
## 705 7 2 2 2
## 706 16 3 3 14
## 707 14 2 2 7
## 708 8 3 3 3
## 709 5 3 3 5
## 710 31 3 3 31
## 711 9 2 3 9
## 712 32 3 2 1
## 713 7 4 2 1
## 714 16 2 3 13
## 715 10 1 3 10
## 716 1 2 3 1
## 717 10 3 3 10
## 718 10 4 4 8
## 719 13 2 4 11
## 720 10 3 2 9
## 721 10 2 3 10
## 722 9 2 2 4
## 723 10 2 3 4
## 724 15 2 2 14
## 725 8 3 3 0
## 726 5 3 3 4
## 727 10 3 3 5
## 728 5 4 4 5
## 729 1 3 1 1
## 730 3 2 3 2
## 731 4 2 4 1
## 732 12 3 2 1
## 733 1 2 3 1
## 734 6 2 3 4
## 735 1 4 1 1
## 736 9 5 2 8
## 737 21 2 2 20
## 738 13 2 3 6
## 739 5 3 3 5
## 740 9 3 3 3
## 741 6 3 3 2
## 742 10 3 2 5
## 743 10 2 3 10
## 744 3 3 1 3
## 745 6 3 2 5
## 746 2 3 3 1
## 747 4 3 3 2
## 748 14 3 3 13
## 749 6 2 4 6
## 750 4 2 4 3
## 751 2 3 3 2
## 752 3 2 4 3
## 753 32 3 3 30
## 754 14 2 3 8
## 755 16 5 1 4
## 756 9 5 3 5
## 757 10 2 1 10
## 758 20 0 2 3
## 759 7 5 2 0
## 760 26 2 3 24
## 761 3 5 3 0
## 762 26 3 2 26
## 763 19 4 3 19
## 764 19 3 3 18
## 765 4 1 1 3
## 766 10 3 3 10
## 767 10 3 3 10
## 768 20 2 3 1
## 769 12 3 2 6
## 770 15 2 3 15
## 771 9 6 2 7
## 772 24 2 3 24
## 773 20 1 3 19
## 774 2 0 2 1
## 775 24 3 1 20
## 776 2 3 3 2
## 777 6 3 4 5
## 778 1 3 3 1
## 779 7 5 3 7
## 780 4 3 4 2
## 781 4 5 2 4
## 782 20 4 3 20
## 783 7 4 4 4
## 784 10 3 2 10
## 785 4 3 1 1
## 786 9 3 4 3
## 787 15 2 3 2
## 788 11 3 2 8
## 789 34 2 3 1
## 790 2 3 2 2
## 791 10 3 3 3
## 792 9 3 3 3
## 793 10 6 4 5
## 794 17 2 3 17
## 795 7 0 3 7
## 796 10 3 3 10
## 797 21 2 3 20
## 798 1 6 3 1
## 799 1 2 4 1
## 800 13 3 3 5
## 801 10 3 3 5
## 802 10 2 4 6
## 803 21 3 3 21
## 804 9 2 3 8
## 805 17 3 4 3
## 806 15 1 3 12
## 807 6 3 2 3
## 808 2 6 3 2
## 809 10 2 2 10
## 810 6 3 2 5
## 811 12 4 3 12
## 812 7 2 2 3
## 813 5 2 4 5
## 814 27 2 3 5
## 815 3 3 3 2
## 816 15 5 3 14
## 817 12 4 2 0
## 818 14 3 4 13
## 819 6 3 3 5
## 820 6 0 3 2
## 821 6 3 3 3
## 822 10 2 3 3
## 823 8 2 3 8
## 824 2 5 2 2
## 825 7 2 3 3
## 826 23 0 3 2
## 827 10 2 3 1
## 828 4 3 3 3
## 829 9 4 2 6
## 830 32 2 3 32
## 831 9 2 3 9
## 832 0 2 2 0
## 833 6 2 3 6
## 834 1 4 3 1
## 835 34 3 3 33
## 836 9 6 3 9
## 837 8 2 3 6
## 838 10 3 3 10
## 839 28 4 3 22
## 840 29 3 3 22
## 841 0 2 3 0
## 842 10 3 2 10
## 843 31 3 3 9
## 844 10 0 2 9
## 845 6 3 3 2
## 846 10 2 3 10
## 847 1 3 3 1
## 848 19 5 2 18
## 849 8 6 3 6
## 850 8 3 3 7
## 851 4 2 3 2
## 852 10 5 3 10
## 853 10 3 3 9
## 854 9 2 3 8
## 855 4 2 3 3
## 856 1 3 3 1
## 857 8 5 3 5
## 858 10 2 3 10
## 859 7 2 3 5
## 860 10 2 3 10
## 861 8 6 2 7
## 862 23 3 4 21
## 863 9 3 2 5
## 864 28 2 2 22
## 865 10 4 4 3
## 866 11 2 3 10
## 867 4 2 3 3
## 868 11 4 2 5
## 869 7 2 2 3
## 870 10 5 3 6
## YearsInCurrentRole YearsSinceLastPromotion YearsWithCurrManager
## 1 2 0 3
## 2 7 4 9
## 3 2 2 2
## 4 10 5 7
## 5 3 1 3
## 6 7 1 7
## 7 2 0 3
## 8 0 0 0
## 9 1 0 0
## 10 2 7 7
## 11 12 6 14
## 12 2 2 2
## 13 5 1 6
## 14 0 0 0
## 15 6 5 7
## 16 8 0 0
## 17 7 6 3
## 18 0 0 0
## 19 0 1 2
## 20 0 2 2
## 21 2 0 2
## 22 2 2 2
## 23 7 4 7
## 24 2 0 3
## 25 0 1 4
## 26 9 3 10
## 27 8 7 7
## 28 2 0 3
## 29 2 2 2
## 30 3 1 2
## 31 7 0 7
## 32 11 2 13
## 33 7 7 7
## 34 0 1 7
## 35 0 0 0
## 36 1 0 3
## 37 12 6 0
## 38 2 2 2
## 39 3 7 7
## 40 2 2 2
## 41 9 14 14
## 42 7 3 1
## 43 2 2 2
## 44 0 0 1
## 45 0 0 1
## 46 9 5 8
## 47 0 0 0
## 48 7 2 7
## 49 0 0 0
## 50 2 2 2
## 51 0 0 0
## 52 8 1 5
## 53 5 7 7
## 54 7 0 8
## 55 7 1 8
## 56 3 0 4
## 57 2 2 2
## 58 9 1 5
## 59 2 0 2
## 60 0 1 0
## 61 7 3 7
## 62 7 1 7
## 63 2 1 2
## 64 0 0 0
## 65 0 0 0
## 66 2 0 5
## 67 11 11 8
## 68 2 1 4
## 69 2 1 2
## 70 12 5 7
## 71 3 1 0
## 72 4 1 3
## 73 0 0 1
## 74 0 0 0
## 75 7 7 7
## 76 8 3 7
## 77 9 8 6
## 78 0 0 12
## 79 7 12 8
## 80 0 0 0
## 81 0 0 0
## 82 7 0 7
## 83 3 7 7
## 84 7 6 7
## 85 14 5 12
## 86 3 4 3
## 87 7 1 7
## 88 2 0 2
## 89 8 1 7
## 90 2 2 1
## 91 0 0 0
## 92 8 3 10
## 93 0 0 0
## 94 2 0 4
## 95 4 4 4
## 96 16 11 6
## 97 12 5 1
## 98 0 0 0
## 99 2 0 2
## 100 4 0 2
## 101 0 1 4
## 102 7 9 9
## 103 2 1 2
## 104 2 0 2
## 105 8 8 8
## 106 7 0 7
## 107 7 0 9
## 108 9 1 4
## 109 7 3 7
## 110 2 1 2
## 111 1 0 2
## 112 8 7 8
## 113 6 4 0
## 114 0 0 0
## 115 7 1 7
## 116 0 0 9
## 117 3 1 1
## 118 3 0 3
## 119 8 1 8
## 120 11 4 11
## 121 7 0 5
## 122 2 1 2
## 123 4 0 2
## 124 7 0 5
## 125 7 0 9
## 126 8 0 9
## 127 2 6 7
## 128 8 3 8
## 129 7 1 8
## 130 17 2 8
## 131 0 0 9
## 132 1 0 4
## 133 5 0 4
## 134 4 1 0
## 135 7 0 0
## 136 7 3 7
## 137 0 0 0
## 138 7 0 8
## 139 2 2 2
## 140 3 1 3
## 141 16 15 9
## 142 2 2 2
## 143 7 0 7
## 144 4 0 1
## 145 11 11 8
## 146 3 0 2
## 147 7 1 6
## 148 2 2 2
## 149 3 1 2
## 150 3 0 0
## 151 1 1 2
## 152 7 0 8
## 153 8 4 8
## 154 2 1 2
## 155 0 1 0
## 156 2 2 2
## 157 8 5 10
## 158 7 11 5
## 159 7 0 1
## 160 0 0 0
## 161 8 3 0
## 162 7 1 9
## 163 0 1 2
## 164 2 0 2
## 165 9 6 9
## 166 2 0 2
## 167 2 1 2
## 168 1 0 5
## 169 9 6 9
## 170 5 1 7
## 171 7 7 7
## 172 7 1 7
## 173 2 1 2
## 174 8 0 8
## 175 13 15 2
## 176 2 2 2
## 177 2 1 4
## 178 2 1 2
## 179 8 3 7
## 180 3 0 7
## 181 7 6 4
## 182 7 1 7
## 183 2 1 2
## 184 0 2 2
## 185 3 0 7
## 186 2 0 4
## 187 7 0 7
## 188 2 1 2
## 189 4 1 6
## 190 4 0 4
## 191 8 1 9
## 192 2 2 2
## 193 7 0 8
## 194 7 6 7
## 195 3 1 1
## 196 0 0 0
## 197 2 0 3
## 198 8 2 3
## 199 6 5 17
## 200 0 0 0
## 201 0 0 0
## 202 4 0 9
## 203 13 6 8
## 204 7 3 7
## 205 3 1 2
## 206 7 7 1
## 207 3 1 3
## 208 0 0 0
## 209 2 2 2
## 210 7 0 7
## 211 7 0 10
## 212 0 0 0
## 213 0 0 0
## 214 3 0 2
## 215 2 1 1
## 216 1 1 2
## 217 0 0 0
## 218 17 4 7
## 219 4 0 4
## 220 5 2 2
## 221 5 1 4
## 222 1 0 0
## 223 5 1 2
## 224 0 0 0
## 225 2 0 3
## 226 8 1 7
## 227 0 0 0
## 228 2 2 2
## 229 2 0 2
## 230 11 2 12
## 231 7 3 9
## 232 2 2 2
## 233 5 14 10
## 234 2 0 5
## 235 12 4 12
## 236 1 11 7
## 237 6 4 14
## 238 4 0 5
## 239 0 1 2
## 240 11 1 11
## 241 9 5 8
## 242 0 0 0
## 243 4 0 4
## 244 2 2 2
## 245 7 1 2
## 246 3 0 3
## 247 9 4 10
## 248 2 2 2
## 249 2 3 3
## 250 16 11 8
## 251 1 0 0
## 252 7 0 7
## 253 0 0 0
## 254 0 0 0
## 255 8 4 8
## 256 2 1 2
## 257 2 2 2
## 258 2 0 2
## 259 3 1 0
## 260 2 0 2
## 261 0 0 0
## 262 7 0 7
## 263 4 0 4
## 264 1 0 2
## 265 3 1 2
## 266 4 0 3
## 267 8 6 9
## 268 0 0 0
## 269 7 2 8
## 270 2 0 2
## 271 7 5 7
## 272 8 7 9
## 273 8 5 8
## 274 2 0 2
## 275 15 2 15
## 276 2 4 2
## 277 1 1 2
## 278 7 1 7
## 279 4 0 3
## 280 2 1 2
## 281 9 8 8
## 282 13 2 17
## 283 3 0 3
## 284 7 1 7
## 285 6 5 0
## 286 14 5 7
## 287 0 0 0
## 288 2 1 2
## 289 7 2 8
## 290 2 0 2
## 291 3 0 2
## 292 8 0 8
## 293 7 0 3
## 294 8 5 12
## 295 7 7 7
## 296 2 2 2
## 297 9 1 9
## 298 7 0 6
## 299 2 1 2
## 300 2 2 2
## 301 8 5 3
## 302 8 1 8
## 303 2 1 2
## 304 7 0 8
## 305 0 0 0
## 306 2 3 4
## 307 0 0 0
## 308 0 0 0
## 309 7 6 7
## 310 2 1 2
## 311 2 2 1
## 312 6 5 13
## 313 2 7 7
## 314 0 0 0
## 315 2 2 2
## 316 0 0 7
## 317 3 1 2
## 318 3 1 2
## 319 4 1 4
## 320 0 0 1
## 321 0 0 2
## 322 9 8 8
## 323 4 0 3
## 324 13 1 7
## 325 6 11 8
## 326 1 0 0
## 327 7 1 10
## 328 3 1 2
## 329 11 0 7
## 330 7 0 9
## 331 7 0 0
## 332 8 9 8
## 333 3 2 3
## 334 7 0 7
## 335 2 2 2
## 336 7 3 8
## 337 2 0 2
## 338 2 0 4
## 339 0 0 0
## 340 0 0 0
## 341 1 0 0
## 342 2 2 2
## 343 2 1 2
## 344 0 0 0
## 345 3 0 3
## 346 8 11 10
## 347 2 0 2
## 348 5 1 4
## 349 0 0 0
## 350 7 1 1
## 351 7 5 7
## 352 7 7 7
## 353 1 0 0
## 354 2 2 2
## 355 14 13 5
## 356 9 3 12
## 357 4 4 3
## 358 2 1 1
## 359 8 7 8
## 360 13 10 11
## 361 18 11 9
## 362 0 0 0
## 363 14 6 9
## 364 7 3 9
## 365 9 9 11
## 366 7 7 7
## 367 8 5 10
## 368 4 7 1
## 369 2 2 2
## 370 7 0 7
## 371 3 0 3
## 372 8 7 8
## 373 9 9 11
## 374 4 7 7
## 375 2 0 2
## 376 6 13 9
## 377 13 15 14
## 378 0 0 0
## 379 4 1 3
## 380 2 0 1
## 381 2 1 1
## 382 7 5 7
## 383 2 2 2
## 384 0 0 0
## 385 0 2 7
## 386 12 5 11
## 387 7 0 8
## 388 2 1 2
## 389 7 6 7
## 390 2 1 2
## 391 2 1 2
## 392 2 0 0
## 393 2 2 3
## 394 13 13 11
## 395 1 2 2
## 396 2 2 2
## 397 2 0 1
## 398 2 2 2
## 399 12 1 9
## 400 2 2 2
## 401 4 0 2
## 402 3 0 2
## 403 2 2 0
## 404 2 0 2
## 405 5 1 1
## 406 0 0 0
## 407 7 5 7
## 408 7 1 7
## 409 8 3 7
## 410 1 1 0
## 411 4 0 3
## 412 8 8 7
## 413 0 0 0
## 414 0 0 0
## 415 2 1 0
## 416 7 1 7
## 417 7 6 7
## 418 0 0 0
## 419 8 3 11
## 420 2 0 7
## 421 2 1 3
## 422 11 10 7
## 423 7 7 7
## 424 0 0 0
## 425 3 0 4
## 426 0 0 0
## 427 0 0 0
## 428 2 1 0
## 429 2 1 2
## 430 9 5 9
## 431 4 0 4
## 432 2 0 0
## 433 3 1 3
## 434 0 0 0
## 435 0 0 0
## 436 7 0 7
## 437 2 2 1
## 438 7 7 6
## 439 2 0 2
## 440 7 1 8
## 441 7 0 7
## 442 3 1 2
## 443 0 0 0
## 444 2 2 2
## 445 1 2 2
## 446 5 1 2
## 447 11 2 9
## 448 0 0 0
## 449 3 9 9
## 450 7 4 5
## 451 7 8 1
## 452 2 1 3
## 453 7 7 7
## 454 4 0 9
## 455 2 0 2
## 456 8 12 8
## 457 0 0 2
## 458 7 1 0
## 459 2 1 0
## 460 4 1 8
## 461 2 2 0
## 462 3 1 3
## 463 2 2 1
## 464 4 1 4
## 465 0 0 0
## 466 2 1 2
## 467 2 1 2
## 468 0 0 0
## 469 2 2 2
## 470 2 1 3
## 471 3 1 2
## 472 0 1 0
## 473 0 0 0
## 474 5 0 3
## 475 2 2 2
## 476 6 0 8
## 477 0 0 0
## 478 0 0 0
## 479 4 0 4
## 480 11 6 8
## 481 3 0 2
## 482 4 0 2
## 483 10 6 11
## 484 2 2 2
## 485 10 15 6
## 486 4 0 5
## 487 0 0 0
## 488 2 4 3
## 489 0 0 0
## 490 1 4 3
## 491 2 1 2
## 492 2 1 2
## 493 2 1 4
## 494 8 3 3
## 495 9 1 7
## 496 6 4 17
## 497 2 0 2
## 498 2 1 2
## 499 7 7 7
## 500 2 1 2
## 501 9 5 9
## 502 2 0 3
## 503 7 7 7
## 504 9 8 8
## 505 17 5 6
## 506 1 2 5
## 507 0 0 0
## 508 2 3 2
## 509 8 5 8
## 510 15 15 8
## 511 7 1 9
## 512 4 0 5
## 513 2 1 3
## 514 14 8 12
## 515 2 2 2
## 516 1 1 2
## 517 0 0 0
## 518 3 0 4
## 519 2 6 7
## 520 2 1 0
## 521 2 1 3
## 522 1 0 0
## 523 0 0 0
## 524 9 0 9
## 525 0 0 0
## 526 7 6 12
## 527 4 0 3
## 528 5 0 1
## 529 4 0 4
## 530 4 4 3
## 531 9 1 9
## 532 0 0 0
## 533 7 0 7
## 534 1 1 2
## 535 7 0 7
## 536 4 2 2
## 537 0 0 0
## 538 2 1 0
## 539 3 1 4
## 540 4 1 5
## 541 7 8 9
## 542 8 7 6
## 543 1 0 1
## 544 0 0 0
## 545 5 1 3
## 546 9 8 7
## 547 9 1 7
## 548 0 0 0
## 549 8 0 1
## 550 3 0 4
## 551 7 2 10
## 552 1 0 4
## 553 1 0 8
## 554 0 0 0
## 555 2 0 2
## 556 0 1 0
## 557 0 0 0
## 558 5 1 3
## 559 8 7 8
## 560 7 7 7
## 561 7 7 2
## 562 2 2 2
## 563 2 2 2
## 564 7 4 8
## 565 2 0 2
## 566 3 1 2
## 567 2 0 4
## 568 8 6 7
## 569 4 0 3
## 570 11 1 5
## 571 4 1 4
## 572 0 0 0
## 573 7 0 7
## 574 8 4 8
## 575 3 1 4
## 576 5 0 7
## 577 0 0 0
## 578 2 0 3
## 579 2 3 8
## 580 0 1 0
## 581 2 1 2
## 582 0 0 0
## 583 0 1 0
## 584 7 7 5
## 585 2 1 3
## 586 2 3 7
## 587 11 1 9
## 588 3 0 3
## 589 2 0 2
## 590 2 2 2
## 591 2 1 3
## 592 9 10 10
## 593 2 1 2
## 594 6 1 4
## 595 15 14 12
## 596 8 0 8
## 597 10 4 8
## 598 0 0 0
## 599 2 0 3
## 600 0 2 0
## 601 0 0 0
## 602 5 1 2
## 603 7 1 7
## 604 8 0 8
## 605 2 2 2
## 606 1 1 3
## 607 3 1 3
## 608 0 7 7
## 609 7 0 7
## 610 2 2 2
## 611 7 0 0
## 612 7 0 7
## 613 7 1 7
## 614 0 0 0
## 615 4 7 7
## 616 10 4 13
## 617 4 0 2
## 618 3 1 3
## 619 7 1 7
## 620 0 0 0
## 621 0 1 0
## 622 10 2 7
## 623 2 1 3
## 624 0 1 7
## 625 0 0 0
## 626 3 0 3
## 627 4 0 3
## 628 10 2 9
## 629 2 1 2
## 630 7 7 7
## 631 2 0 4
## 632 8 2 1
## 633 0 0 0
## 634 0 0 0
## 635 0 0 0
## 636 2 2 2
## 637 6 13 7
## 638 7 1 1
## 639 5 1 4
## 640 3 0 2
## 641 0 0 0
## 642 4 7 7
## 643 7 6 2
## 644 2 3 0
## 645 0 0 0
## 646 11 2 11
## 647 0 0 0
## 648 2 0 2
## 649 13 2 8
## 650 2 0 3
## 651 0 1 2
## 652 7 1 9
## 653 7 2 13
## 654 0 0 0
## 655 2 1 2
## 656 3 3 3
## 657 9 4 7
## 658 9 1 12
## 659 4 1 2
## 660 5 0 3
## 661 8 4 7
## 662 3 5 7
## 663 6 0 3
## 664 2 1 2
## 665 5 8 7
## 666 2 0 2
## 667 10 4 1
## 668 3 1 3
## 669 4 1 1
## 670 9 0 9
## 671 2 0 2
## 672 2 0 4
## 673 2 1 3
## 674 2 7 8
## 675 2 0 2
## 676 4 0 8
## 677 7 0 5
## 678 9 9 4
## 679 2 0 2
## 680 7 5 2
## 681 2 0 3
## 682 2 1 2
## 683 2 0 2
## 684 3 1 4
## 685 2 0 2
## 686 8 0 8
## 687 7 7 7
## 688 2 1 1
## 689 0 1 0
## 690 10 3 8
## 691 3 1 2
## 692 7 9 9
## 693 0 0 0
## 694 0 0 0
## 695 3 1 3
## 696 2 1 2
## 697 2 2 2
## 698 11 3 7
## 699 0 0 0
## 700 2 0 3
## 701 0 0 0
## 702 5 1 3
## 703 2 4 12
## 704 1 1 4
## 705 2 2 2
## 706 3 1 10
## 707 1 1 7
## 708 2 0 2
## 709 4 0 4
## 710 6 14 7
## 711 1 0 8
## 712 0 0 0
## 713 0 0 0
## 714 9 1 12
## 715 7 0 9
## 716 0 0 0
## 717 3 1 4
## 718 7 1 7
## 719 9 6 7
## 720 7 1 7
## 721 7 7 8
## 722 3 0 2
## 723 3 1 3
## 724 8 7 8
## 725 0 0 0
## 726 2 1 2
## 727 4 0 0
## 728 3 2 0
## 729 0 0 0
## 730 1 2 1
## 731 0 0 0
## 732 0 0 0
## 733 0 0 0
## 734 2 1 2
## 735 0 0 0
## 736 7 0 7
## 737 9 9 6
## 738 1 0 5
## 739 2 1 0
## 740 2 0 2
## 741 2 2 2
## 742 4 0 1
## 743 8 3 7
## 744 2 1 2
## 745 3 0 4
## 746 1 0 0
## 747 2 2 0
## 748 9 4 9
## 749 2 1 2
## 750 1 0 2
## 751 2 0 2
## 752 2 2 2
## 753 8 12 13
## 754 7 0 7
## 755 3 0 3
## 756 2 1 4
## 757 6 0 7
## 758 2 1 2
## 759 0 0 0
## 760 10 1 11
## 761 0 0 0
## 762 14 3 0
## 763 2 11 9
## 764 7 0 13
## 765 2 0 2
## 766 7 1 4
## 767 6 0 8
## 768 0 0 1
## 769 3 1 4
## 770 10 4 12
## 771 7 0 1
## 772 13 15 7
## 773 6 11 8
## 774 0 0 0
## 775 8 13 9
## 776 2 0 2
## 777 3 1 3
## 778 0 0 0
## 779 7 5 7
## 780 2 2 2
## 781 3 0 2
## 782 7 11 10
## 783 3 0 3
## 784 7 0 1
## 785 0 0 0
## 786 2 1 0
## 787 2 2 2
## 788 2 7 7
## 789 0 0 0
## 790 2 2 1
## 791 2 1 2
## 792 2 1 2
## 793 4 0 2
## 794 14 12 8
## 795 7 1 7
## 796 8 9 7
## 797 7 4 10
## 798 0 0 0
## 799 1 0 0
## 800 4 0 4
## 801 3 1 3
## 802 5 0 5
## 803 9 11 10
## 804 7 4 7
## 805 2 1 2
## 806 8 5 7
## 807 2 1 2
## 808 2 2 2
## 809 0 0 8
## 810 2 1 1
## 811 9 6 10
## 812 2 0 2
## 813 2 0 3
## 814 2 1 0
## 815 2 1 2
## 816 10 4 10
## 817 0 0 0
## 818 9 3 7
## 819 3 1 2
## 820 0 2 2
## 821 2 0 2
## 822 2 0 2
## 823 7 1 7
## 824 2 2 2
## 825 2 1 1
## 826 2 2 2
## 827 0 0 0
## 828 2 0 2
## 829 1 0 5
## 830 5 10 7
## 831 8 0 8
## 832 0 0 0
## 833 5 3 3
## 834 1 0 0
## 835 9 15 0
## 836 5 7 7
## 837 4 1 3
## 838 7 5 7
## 839 11 14 10
## 840 10 12 9
## 841 0 0 0
## 842 9 0 9
## 843 8 0 0
## 844 7 1 6
## 845 2 2 2
## 846 0 1 8
## 847 0 0 0
## 848 10 3 7
## 849 4 1 0
## 850 7 7 7
## 851 2 2 2
## 852 0 1 8
## 853 5 0 8
## 854 3 0 7
## 855 2 0 2
## 856 0 0 0
## 857 2 0 4
## 858 9 8 9
## 859 0 1 4
## 860 7 0 5
## 861 0 7 7
## 862 7 15 17
## 863 2 0 4
## 864 2 11 13
## 865 1 1 2
## 866 9 0 8
## 867 2 2 2
## 868 4 1 2
## 869 2 0 2
## 870 2 1 2#Verifying employee data
head(employee)## ID Age Attrition BusinessTravel DailyRate Department
## 1 1 32 No Travel_Rarely 117 Sales
## 2 2 40 No Travel_Rarely 1308 Research & Development
## 3 3 35 No Travel_Frequently 200 Research & Development
## 4 4 32 No Travel_Rarely 801 Sales
## 5 5 24 No Travel_Frequently 567 Research & Development
## 6 6 27 No Travel_Frequently 294 Research & Development
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## 1 13 4 Life Sciences 1 859
## 2 14 3 Medical 1 1128
## 3 18 2 Life Sciences 1 1412
## 4 1 4 Marketing 1 2016
## 5 2 1 Technical Degree 1 1646
## 6 10 2 Life Sciences 1 733
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## 1 2 Male 73 3 2
## 2 3 Male 44 2 5
## 3 3 Male 60 3 3
## 4 3 Female 48 3 3
## 5 1 Female 32 3 1
## 6 4 Male 32 3 3
## JobRole JobSatisfaction MaritalStatus MonthlyIncome
## 1 Sales Executive 4 Divorced 4403
## 2 Research Director 3 Single 19626
## 3 Manufacturing Director 4 Single 9362
## 4 Sales Executive 4 Married 10422
## 5 Research Scientist 4 Single 3760
## 6 Manufacturing Director 1 Divorced 8793
## MonthlyRate NumCompaniesWorked Over18 OverTime PercentSalaryHike
## 1 9250 2 Y No 11
## 2 17544 1 Y No 14
## 3 19944 2 Y No 11
## 4 24032 1 Y No 19
## 5 17218 1 Y Yes 13
## 6 4809 1 Y No 21
## PerformanceRating RelationshipSatisfaction StandardHours StockOptionLevel
## 1 3 3 80 1
## 2 3 1 80 0
## 3 3 3 80 0
## 4 3 3 80 2
## 5 3 3 80 0
## 6 4 3 80 2
## TotalWorkingYears TrainingTimesLastYear WorkLifeBalance YearsAtCompany
## 1 8 3 2 5
## 2 21 2 4 20
## 3 10 2 3 2
## 4 14 3 3 14
## 5 6 2 3 6
## 6 9 4 2 9
## YearsInCurrentRole YearsSinceLastPromotion YearsWithCurrManager
## 1 2 0 3
## 2 7 4 9
## 3 2 2 2
## 4 10 5 7
## 5 3 1 3
## 6 7 1 7#Cleaned data for potential missing values
#Removing NAs in dataset
is.na(employee)## ID Age Attrition BusinessTravel DailyRate Department
## [1,] FALSE FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE FALSE FALSE FALSE
## [870,] FALSE FALSE FALSE FALSE FALSE FALSE
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## [1,] FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE FALSE FALSE
## [870,] FALSE FALSE FALSE FALSE FALSE
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## [1,] FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE FALSE FALSE
## [870,] FALSE FALSE FALSE FALSE FALSE
## JobRole JobSatisfaction MaritalStatus MonthlyIncome MonthlyRate
## [1,] FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE FALSE FALSE
## [870,] FALSE FALSE FALSE FALSE FALSE
## NumCompaniesWorked Over18 OverTime PercentSalaryHike PerformanceRating
## [1,] FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE FALSE FALSE
## [870,] FALSE FALSE FALSE FALSE FALSE
## RelationshipSatisfaction StandardHours StockOptionLevel
## [1,] FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE
## [870,] FALSE FALSE FALSE
## TotalWorkingYears TrainingTimesLastYear WorkLifeBalance YearsAtCompany
## [1,] FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE FALSE
## [870,] FALSE FALSE FALSE FALSE
## YearsInCurrentRole YearsSinceLastPromotion YearsWithCurrManager
## [1,] FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE
## [20,] FALSE FALSE FALSE
## [21,] FALSE FALSE FALSE
## [22,] FALSE FALSE FALSE
## [23,] FALSE FALSE FALSE
## [24,] FALSE FALSE FALSE
## [25,] FALSE FALSE FALSE
## [26,] FALSE FALSE FALSE
## [27,] FALSE FALSE FALSE
## [28,] FALSE FALSE FALSE
## [29,] FALSE FALSE FALSE
## [30,] FALSE FALSE FALSE
## [31,] FALSE FALSE FALSE
## [32,] FALSE FALSE FALSE
## [33,] FALSE FALSE FALSE
## [34,] FALSE FALSE FALSE
## [35,] FALSE FALSE FALSE
## [36,] FALSE FALSE FALSE
## [37,] FALSE FALSE FALSE
## [38,] FALSE FALSE FALSE
## [39,] FALSE FALSE FALSE
## [40,] FALSE FALSE FALSE
## [41,] FALSE FALSE FALSE
## [42,] FALSE FALSE FALSE
## [43,] FALSE FALSE FALSE
## [44,] FALSE FALSE FALSE
## [45,] FALSE FALSE FALSE
## [46,] FALSE FALSE FALSE
## [47,] FALSE FALSE FALSE
## [48,] FALSE FALSE FALSE
## [49,] FALSE FALSE FALSE
## [50,] FALSE FALSE FALSE
## [51,] FALSE FALSE FALSE
## [52,] FALSE FALSE FALSE
## [53,] FALSE FALSE FALSE
## [54,] FALSE FALSE FALSE
## [55,] FALSE FALSE FALSE
## [56,] FALSE FALSE FALSE
## [57,] FALSE FALSE FALSE
## [58,] FALSE FALSE FALSE
## [59,] FALSE FALSE FALSE
## [60,] FALSE FALSE FALSE
## [61,] FALSE FALSE FALSE
## [62,] FALSE FALSE FALSE
## [63,] FALSE FALSE FALSE
## [64,] FALSE FALSE FALSE
## [65,] FALSE FALSE FALSE
## [66,] FALSE FALSE FALSE
## [67,] FALSE FALSE FALSE
## [68,] FALSE FALSE FALSE
## [69,] FALSE FALSE FALSE
## [70,] FALSE FALSE FALSE
## [71,] FALSE FALSE FALSE
## [72,] FALSE FALSE FALSE
## [73,] FALSE FALSE FALSE
## [74,] FALSE FALSE FALSE
## [75,] FALSE FALSE FALSE
## [76,] FALSE FALSE FALSE
## [77,] FALSE FALSE FALSE
## [78,] FALSE FALSE FALSE
## [79,] FALSE FALSE FALSE
## [80,] FALSE FALSE FALSE
## [81,] FALSE FALSE FALSE
## [82,] FALSE FALSE FALSE
## [83,] FALSE FALSE FALSE
## [84,] FALSE FALSE FALSE
## [85,] FALSE FALSE FALSE
## [86,] FALSE FALSE FALSE
## [87,] FALSE FALSE FALSE
## [88,] FALSE FALSE FALSE
## [89,] FALSE FALSE FALSE
## [90,] FALSE FALSE FALSE
## [91,] FALSE FALSE FALSE
## [92,] FALSE FALSE FALSE
## [93,] FALSE FALSE FALSE
## [94,] FALSE FALSE FALSE
## [95,] FALSE FALSE FALSE
## [96,] FALSE FALSE FALSE
## [97,] FALSE FALSE FALSE
## [98,] FALSE FALSE FALSE
## [99,] FALSE FALSE FALSE
## [100,] FALSE FALSE FALSE
## [101,] FALSE FALSE FALSE
## [102,] FALSE FALSE FALSE
## [103,] FALSE FALSE FALSE
## [104,] FALSE FALSE FALSE
## [105,] FALSE FALSE FALSE
## [106,] FALSE FALSE FALSE
## [107,] FALSE FALSE FALSE
## [108,] FALSE FALSE FALSE
## [109,] FALSE FALSE FALSE
## [110,] FALSE FALSE FALSE
## [111,] FALSE FALSE FALSE
## [112,] FALSE FALSE FALSE
## [113,] FALSE FALSE FALSE
## [114,] FALSE FALSE FALSE
## [115,] FALSE FALSE FALSE
## [116,] FALSE FALSE FALSE
## [117,] FALSE FALSE FALSE
## [118,] FALSE FALSE FALSE
## [119,] FALSE FALSE FALSE
## [120,] FALSE FALSE FALSE
## [121,] FALSE FALSE FALSE
## [122,] FALSE FALSE FALSE
## [123,] FALSE FALSE FALSE
## [124,] FALSE FALSE FALSE
## [125,] FALSE FALSE FALSE
## [126,] FALSE FALSE FALSE
## [127,] FALSE FALSE FALSE
## [128,] FALSE FALSE FALSE
## [129,] FALSE FALSE FALSE
## [130,] FALSE FALSE FALSE
## [131,] FALSE FALSE FALSE
## [132,] FALSE FALSE FALSE
## [133,] FALSE FALSE FALSE
## [134,] FALSE FALSE FALSE
## [135,] FALSE FALSE FALSE
## [136,] FALSE FALSE FALSE
## [137,] FALSE FALSE FALSE
## [138,] FALSE FALSE FALSE
## [139,] FALSE FALSE FALSE
## [140,] FALSE FALSE FALSE
## [141,] FALSE FALSE FALSE
## [142,] FALSE FALSE FALSE
## [143,] FALSE FALSE FALSE
## [144,] FALSE FALSE FALSE
## [145,] FALSE FALSE FALSE
## [146,] FALSE FALSE FALSE
## [147,] FALSE FALSE FALSE
## [148,] FALSE FALSE FALSE
## [149,] FALSE FALSE FALSE
## [150,] FALSE FALSE FALSE
## [151,] FALSE FALSE FALSE
## [152,] FALSE FALSE FALSE
## [153,] FALSE FALSE FALSE
## [154,] FALSE FALSE FALSE
## [155,] FALSE FALSE FALSE
## [156,] FALSE FALSE FALSE
## [157,] FALSE FALSE FALSE
## [158,] FALSE FALSE FALSE
## [159,] FALSE FALSE FALSE
## [160,] FALSE FALSE FALSE
## [161,] FALSE FALSE FALSE
## [162,] FALSE FALSE FALSE
## [163,] FALSE FALSE FALSE
## [164,] FALSE FALSE FALSE
## [165,] FALSE FALSE FALSE
## [166,] FALSE FALSE FALSE
## [167,] FALSE FALSE FALSE
## [168,] FALSE FALSE FALSE
## [169,] FALSE FALSE FALSE
## [170,] FALSE FALSE FALSE
## [171,] FALSE FALSE FALSE
## [172,] FALSE FALSE FALSE
## [173,] FALSE FALSE FALSE
## [174,] FALSE FALSE FALSE
## [175,] FALSE FALSE FALSE
## [176,] FALSE FALSE FALSE
## [177,] FALSE FALSE FALSE
## [178,] FALSE FALSE FALSE
## [179,] FALSE FALSE FALSE
## [180,] FALSE FALSE FALSE
## [181,] FALSE FALSE FALSE
## [182,] FALSE FALSE FALSE
## [183,] FALSE FALSE FALSE
## [184,] FALSE FALSE FALSE
## [185,] FALSE FALSE FALSE
## [186,] FALSE FALSE FALSE
## [187,] FALSE FALSE FALSE
## [188,] FALSE FALSE FALSE
## [189,] FALSE FALSE FALSE
## [190,] FALSE FALSE FALSE
## [191,] FALSE FALSE FALSE
## [192,] FALSE FALSE FALSE
## [193,] FALSE FALSE FALSE
## [194,] FALSE FALSE FALSE
## [195,] FALSE FALSE FALSE
## [196,] FALSE FALSE FALSE
## [197,] FALSE FALSE FALSE
## [198,] FALSE FALSE FALSE
## [199,] FALSE FALSE FALSE
## [200,] FALSE FALSE FALSE
## [201,] FALSE FALSE FALSE
## [202,] FALSE FALSE FALSE
## [203,] FALSE FALSE FALSE
## [204,] FALSE FALSE FALSE
## [205,] FALSE FALSE FALSE
## [206,] FALSE FALSE FALSE
## [207,] FALSE FALSE FALSE
## [208,] FALSE FALSE FALSE
## [209,] FALSE FALSE FALSE
## [210,] FALSE FALSE FALSE
## [211,] FALSE FALSE FALSE
## [212,] FALSE FALSE FALSE
## [213,] FALSE FALSE FALSE
## [214,] FALSE FALSE FALSE
## [215,] FALSE FALSE FALSE
## [216,] FALSE FALSE FALSE
## [217,] FALSE FALSE FALSE
## [218,] FALSE FALSE FALSE
## [219,] FALSE FALSE FALSE
## [220,] FALSE FALSE FALSE
## [221,] FALSE FALSE FALSE
## [222,] FALSE FALSE FALSE
## [223,] FALSE FALSE FALSE
## [224,] FALSE FALSE FALSE
## [225,] FALSE FALSE FALSE
## [226,] FALSE FALSE FALSE
## [227,] FALSE FALSE FALSE
## [228,] FALSE FALSE FALSE
## [229,] FALSE FALSE FALSE
## [230,] FALSE FALSE FALSE
## [231,] FALSE FALSE FALSE
## [232,] FALSE FALSE FALSE
## [233,] FALSE FALSE FALSE
## [234,] FALSE FALSE FALSE
## [235,] FALSE FALSE FALSE
## [236,] FALSE FALSE FALSE
## [237,] FALSE FALSE FALSE
## [238,] FALSE FALSE FALSE
## [239,] FALSE FALSE FALSE
## [240,] FALSE FALSE FALSE
## [241,] FALSE FALSE FALSE
## [242,] FALSE FALSE FALSE
## [243,] FALSE FALSE FALSE
## [244,] FALSE FALSE FALSE
## [245,] FALSE FALSE FALSE
## [246,] FALSE FALSE FALSE
## [247,] FALSE FALSE FALSE
## [248,] FALSE FALSE FALSE
## [249,] FALSE FALSE FALSE
## [250,] FALSE FALSE FALSE
## [251,] FALSE FALSE FALSE
## [252,] FALSE FALSE FALSE
## [253,] FALSE FALSE FALSE
## [254,] FALSE FALSE FALSE
## [255,] FALSE FALSE FALSE
## [256,] FALSE FALSE FALSE
## [257,] FALSE FALSE FALSE
## [258,] FALSE FALSE FALSE
## [259,] FALSE FALSE FALSE
## [260,] FALSE FALSE FALSE
## [261,] FALSE FALSE FALSE
## [262,] FALSE FALSE FALSE
## [263,] FALSE FALSE FALSE
## [264,] FALSE FALSE FALSE
## [265,] FALSE FALSE FALSE
## [266,] FALSE FALSE FALSE
## [267,] FALSE FALSE FALSE
## [268,] FALSE FALSE FALSE
## [269,] FALSE FALSE FALSE
## [270,] FALSE FALSE FALSE
## [271,] FALSE FALSE FALSE
## [272,] FALSE FALSE FALSE
## [273,] FALSE FALSE FALSE
## [274,] FALSE FALSE FALSE
## [275,] FALSE FALSE FALSE
## [276,] FALSE FALSE FALSE
## [277,] FALSE FALSE FALSE
## [278,] FALSE FALSE FALSE
## [279,] FALSE FALSE FALSE
## [280,] FALSE FALSE FALSE
## [281,] FALSE FALSE FALSE
## [282,] FALSE FALSE FALSE
## [283,] FALSE FALSE FALSE
## [284,] FALSE FALSE FALSE
## [285,] FALSE FALSE FALSE
## [286,] FALSE FALSE FALSE
## [287,] FALSE FALSE FALSE
## [288,] FALSE FALSE FALSE
## [289,] FALSE FALSE FALSE
## [290,] FALSE FALSE FALSE
## [291,] FALSE FALSE FALSE
## [292,] FALSE FALSE FALSE
## [293,] FALSE FALSE FALSE
## [294,] FALSE FALSE FALSE
## [295,] FALSE FALSE FALSE
## [296,] FALSE FALSE FALSE
## [297,] FALSE FALSE FALSE
## [298,] FALSE FALSE FALSE
## [299,] FALSE FALSE FALSE
## [300,] FALSE FALSE FALSE
## [301,] FALSE FALSE FALSE
## [302,] FALSE FALSE FALSE
## [303,] FALSE FALSE FALSE
## [304,] FALSE FALSE FALSE
## [305,] FALSE FALSE FALSE
## [306,] FALSE FALSE FALSE
## [307,] FALSE FALSE FALSE
## [308,] FALSE FALSE FALSE
## [309,] FALSE FALSE FALSE
## [310,] FALSE FALSE FALSE
## [311,] FALSE FALSE FALSE
## [312,] FALSE FALSE FALSE
## [313,] FALSE FALSE FALSE
## [314,] FALSE FALSE FALSE
## [315,] FALSE FALSE FALSE
## [316,] FALSE FALSE FALSE
## [317,] FALSE FALSE FALSE
## [318,] FALSE FALSE FALSE
## [319,] FALSE FALSE FALSE
## [320,] FALSE FALSE FALSE
## [321,] FALSE FALSE FALSE
## [322,] FALSE FALSE FALSE
## [323,] FALSE FALSE FALSE
## [324,] FALSE FALSE FALSE
## [325,] FALSE FALSE FALSE
## [326,] FALSE FALSE FALSE
## [327,] FALSE FALSE FALSE
## [328,] FALSE FALSE FALSE
## [329,] FALSE FALSE FALSE
## [330,] FALSE FALSE FALSE
## [331,] FALSE FALSE FALSE
## [332,] FALSE FALSE FALSE
## [333,] FALSE FALSE FALSE
## [334,] FALSE FALSE FALSE
## [335,] FALSE FALSE FALSE
## [336,] FALSE FALSE FALSE
## [337,] FALSE FALSE FALSE
## [338,] FALSE FALSE FALSE
## [339,] FALSE FALSE FALSE
## [340,] FALSE FALSE FALSE
## [341,] FALSE FALSE FALSE
## [342,] FALSE FALSE FALSE
## [343,] FALSE FALSE FALSE
## [344,] FALSE FALSE FALSE
## [345,] FALSE FALSE FALSE
## [346,] FALSE FALSE FALSE
## [347,] FALSE FALSE FALSE
## [348,] FALSE FALSE FALSE
## [349,] FALSE FALSE FALSE
## [350,] FALSE FALSE FALSE
## [351,] FALSE FALSE FALSE
## [352,] FALSE FALSE FALSE
## [353,] FALSE FALSE FALSE
## [354,] FALSE FALSE FALSE
## [355,] FALSE FALSE FALSE
## [356,] FALSE FALSE FALSE
## [357,] FALSE FALSE FALSE
## [358,] FALSE FALSE FALSE
## [359,] FALSE FALSE FALSE
## [360,] FALSE FALSE FALSE
## [361,] FALSE FALSE FALSE
## [362,] FALSE FALSE FALSE
## [363,] FALSE FALSE FALSE
## [364,] FALSE FALSE FALSE
## [365,] FALSE FALSE FALSE
## [366,] FALSE FALSE FALSE
## [367,] FALSE FALSE FALSE
## [368,] FALSE FALSE FALSE
## [369,] FALSE FALSE FALSE
## [370,] FALSE FALSE FALSE
## [371,] FALSE FALSE FALSE
## [372,] FALSE FALSE FALSE
## [373,] FALSE FALSE FALSE
## [374,] FALSE FALSE FALSE
## [375,] FALSE FALSE FALSE
## [376,] FALSE FALSE FALSE
## [377,] FALSE FALSE FALSE
## [378,] FALSE FALSE FALSE
## [379,] FALSE FALSE FALSE
## [380,] FALSE FALSE FALSE
## [381,] FALSE FALSE FALSE
## [382,] FALSE FALSE FALSE
## [383,] FALSE FALSE FALSE
## [384,] FALSE FALSE FALSE
## [385,] FALSE FALSE FALSE
## [386,] FALSE FALSE FALSE
## [387,] FALSE FALSE FALSE
## [388,] FALSE FALSE FALSE
## [389,] FALSE FALSE FALSE
## [390,] FALSE FALSE FALSE
## [391,] FALSE FALSE FALSE
## [392,] FALSE FALSE FALSE
## [393,] FALSE FALSE FALSE
## [394,] FALSE FALSE FALSE
## [395,] FALSE FALSE FALSE
## [396,] FALSE FALSE FALSE
## [397,] FALSE FALSE FALSE
## [398,] FALSE FALSE FALSE
## [399,] FALSE FALSE FALSE
## [400,] FALSE FALSE FALSE
## [401,] FALSE FALSE FALSE
## [402,] FALSE FALSE FALSE
## [403,] FALSE FALSE FALSE
## [404,] FALSE FALSE FALSE
## [405,] FALSE FALSE FALSE
## [406,] FALSE FALSE FALSE
## [407,] FALSE FALSE FALSE
## [408,] FALSE FALSE FALSE
## [409,] FALSE FALSE FALSE
## [410,] FALSE FALSE FALSE
## [411,] FALSE FALSE FALSE
## [412,] FALSE FALSE FALSE
## [413,] FALSE FALSE FALSE
## [414,] FALSE FALSE FALSE
## [415,] FALSE FALSE FALSE
## [416,] FALSE FALSE FALSE
## [417,] FALSE FALSE FALSE
## [418,] FALSE FALSE FALSE
## [419,] FALSE FALSE FALSE
## [420,] FALSE FALSE FALSE
## [421,] FALSE FALSE FALSE
## [422,] FALSE FALSE FALSE
## [423,] FALSE FALSE FALSE
## [424,] FALSE FALSE FALSE
## [425,] FALSE FALSE FALSE
## [426,] FALSE FALSE FALSE
## [427,] FALSE FALSE FALSE
## [428,] FALSE FALSE FALSE
## [429,] FALSE FALSE FALSE
## [430,] FALSE FALSE FALSE
## [431,] FALSE FALSE FALSE
## [432,] FALSE FALSE FALSE
## [433,] FALSE FALSE FALSE
## [434,] FALSE FALSE FALSE
## [435,] FALSE FALSE FALSE
## [436,] FALSE FALSE FALSE
## [437,] FALSE FALSE FALSE
## [438,] FALSE FALSE FALSE
## [439,] FALSE FALSE FALSE
## [440,] FALSE FALSE FALSE
## [441,] FALSE FALSE FALSE
## [442,] FALSE FALSE FALSE
## [443,] FALSE FALSE FALSE
## [444,] FALSE FALSE FALSE
## [445,] FALSE FALSE FALSE
## [446,] FALSE FALSE FALSE
## [447,] FALSE FALSE FALSE
## [448,] FALSE FALSE FALSE
## [449,] FALSE FALSE FALSE
## [450,] FALSE FALSE FALSE
## [451,] FALSE FALSE FALSE
## [452,] FALSE FALSE FALSE
## [453,] FALSE FALSE FALSE
## [454,] FALSE FALSE FALSE
## [455,] FALSE FALSE FALSE
## [456,] FALSE FALSE FALSE
## [457,] FALSE FALSE FALSE
## [458,] FALSE FALSE FALSE
## [459,] FALSE FALSE FALSE
## [460,] FALSE FALSE FALSE
## [461,] FALSE FALSE FALSE
## [462,] FALSE FALSE FALSE
## [463,] FALSE FALSE FALSE
## [464,] FALSE FALSE FALSE
## [465,] FALSE FALSE FALSE
## [466,] FALSE FALSE FALSE
## [467,] FALSE FALSE FALSE
## [468,] FALSE FALSE FALSE
## [469,] FALSE FALSE FALSE
## [470,] FALSE FALSE FALSE
## [471,] FALSE FALSE FALSE
## [472,] FALSE FALSE FALSE
## [473,] FALSE FALSE FALSE
## [474,] FALSE FALSE FALSE
## [475,] FALSE FALSE FALSE
## [476,] FALSE FALSE FALSE
## [477,] FALSE FALSE FALSE
## [478,] FALSE FALSE FALSE
## [479,] FALSE FALSE FALSE
## [480,] FALSE FALSE FALSE
## [481,] FALSE FALSE FALSE
## [482,] FALSE FALSE FALSE
## [483,] FALSE FALSE FALSE
## [484,] FALSE FALSE FALSE
## [485,] FALSE FALSE FALSE
## [486,] FALSE FALSE FALSE
## [487,] FALSE FALSE FALSE
## [488,] FALSE FALSE FALSE
## [489,] FALSE FALSE FALSE
## [490,] FALSE FALSE FALSE
## [491,] FALSE FALSE FALSE
## [492,] FALSE FALSE FALSE
## [493,] FALSE FALSE FALSE
## [494,] FALSE FALSE FALSE
## [495,] FALSE FALSE FALSE
## [496,] FALSE FALSE FALSE
## [497,] FALSE FALSE FALSE
## [498,] FALSE FALSE FALSE
## [499,] FALSE FALSE FALSE
## [500,] FALSE FALSE FALSE
## [501,] FALSE FALSE FALSE
## [502,] FALSE FALSE FALSE
## [503,] FALSE FALSE FALSE
## [504,] FALSE FALSE FALSE
## [505,] FALSE FALSE FALSE
## [506,] FALSE FALSE FALSE
## [507,] FALSE FALSE FALSE
## [508,] FALSE FALSE FALSE
## [509,] FALSE FALSE FALSE
## [510,] FALSE FALSE FALSE
## [511,] FALSE FALSE FALSE
## [512,] FALSE FALSE FALSE
## [513,] FALSE FALSE FALSE
## [514,] FALSE FALSE FALSE
## [515,] FALSE FALSE FALSE
## [516,] FALSE FALSE FALSE
## [517,] FALSE FALSE FALSE
## [518,] FALSE FALSE FALSE
## [519,] FALSE FALSE FALSE
## [520,] FALSE FALSE FALSE
## [521,] FALSE FALSE FALSE
## [522,] FALSE FALSE FALSE
## [523,] FALSE FALSE FALSE
## [524,] FALSE FALSE FALSE
## [525,] FALSE FALSE FALSE
## [526,] FALSE FALSE FALSE
## [527,] FALSE FALSE FALSE
## [528,] FALSE FALSE FALSE
## [529,] FALSE FALSE FALSE
## [530,] FALSE FALSE FALSE
## [531,] FALSE FALSE FALSE
## [532,] FALSE FALSE FALSE
## [533,] FALSE FALSE FALSE
## [534,] FALSE FALSE FALSE
## [535,] FALSE FALSE FALSE
## [536,] FALSE FALSE FALSE
## [537,] FALSE FALSE FALSE
## [538,] FALSE FALSE FALSE
## [539,] FALSE FALSE FALSE
## [540,] FALSE FALSE FALSE
## [541,] FALSE FALSE FALSE
## [542,] FALSE FALSE FALSE
## [543,] FALSE FALSE FALSE
## [544,] FALSE FALSE FALSE
## [545,] FALSE FALSE FALSE
## [546,] FALSE FALSE FALSE
## [547,] FALSE FALSE FALSE
## [548,] FALSE FALSE FALSE
## [549,] FALSE FALSE FALSE
## [550,] FALSE FALSE FALSE
## [551,] FALSE FALSE FALSE
## [552,] FALSE FALSE FALSE
## [553,] FALSE FALSE FALSE
## [554,] FALSE FALSE FALSE
## [555,] FALSE FALSE FALSE
## [556,] FALSE FALSE FALSE
## [557,] FALSE FALSE FALSE
## [558,] FALSE FALSE FALSE
## [559,] FALSE FALSE FALSE
## [560,] FALSE FALSE FALSE
## [561,] FALSE FALSE FALSE
## [562,] FALSE FALSE FALSE
## [563,] FALSE FALSE FALSE
## [564,] FALSE FALSE FALSE
## [565,] FALSE FALSE FALSE
## [566,] FALSE FALSE FALSE
## [567,] FALSE FALSE FALSE
## [568,] FALSE FALSE FALSE
## [569,] FALSE FALSE FALSE
## [570,] FALSE FALSE FALSE
## [571,] FALSE FALSE FALSE
## [572,] FALSE FALSE FALSE
## [573,] FALSE FALSE FALSE
## [574,] FALSE FALSE FALSE
## [575,] FALSE FALSE FALSE
## [576,] FALSE FALSE FALSE
## [577,] FALSE FALSE FALSE
## [578,] FALSE FALSE FALSE
## [579,] FALSE FALSE FALSE
## [580,] FALSE FALSE FALSE
## [581,] FALSE FALSE FALSE
## [582,] FALSE FALSE FALSE
## [583,] FALSE FALSE FALSE
## [584,] FALSE FALSE FALSE
## [585,] FALSE FALSE FALSE
## [586,] FALSE FALSE FALSE
## [587,] FALSE FALSE FALSE
## [588,] FALSE FALSE FALSE
## [589,] FALSE FALSE FALSE
## [590,] FALSE FALSE FALSE
## [591,] FALSE FALSE FALSE
## [592,] FALSE FALSE FALSE
## [593,] FALSE FALSE FALSE
## [594,] FALSE FALSE FALSE
## [595,] FALSE FALSE FALSE
## [596,] FALSE FALSE FALSE
## [597,] FALSE FALSE FALSE
## [598,] FALSE FALSE FALSE
## [599,] FALSE FALSE FALSE
## [600,] FALSE FALSE FALSE
## [601,] FALSE FALSE FALSE
## [602,] FALSE FALSE FALSE
## [603,] FALSE FALSE FALSE
## [604,] FALSE FALSE FALSE
## [605,] FALSE FALSE FALSE
## [606,] FALSE FALSE FALSE
## [607,] FALSE FALSE FALSE
## [608,] FALSE FALSE FALSE
## [609,] FALSE FALSE FALSE
## [610,] FALSE FALSE FALSE
## [611,] FALSE FALSE FALSE
## [612,] FALSE FALSE FALSE
## [613,] FALSE FALSE FALSE
## [614,] FALSE FALSE FALSE
## [615,] FALSE FALSE FALSE
## [616,] FALSE FALSE FALSE
## [617,] FALSE FALSE FALSE
## [618,] FALSE FALSE FALSE
## [619,] FALSE FALSE FALSE
## [620,] FALSE FALSE FALSE
## [621,] FALSE FALSE FALSE
## [622,] FALSE FALSE FALSE
## [623,] FALSE FALSE FALSE
## [624,] FALSE FALSE FALSE
## [625,] FALSE FALSE FALSE
## [626,] FALSE FALSE FALSE
## [627,] FALSE FALSE FALSE
## [628,] FALSE FALSE FALSE
## [629,] FALSE FALSE FALSE
## [630,] FALSE FALSE FALSE
## [631,] FALSE FALSE FALSE
## [632,] FALSE FALSE FALSE
## [633,] FALSE FALSE FALSE
## [634,] FALSE FALSE FALSE
## [635,] FALSE FALSE FALSE
## [636,] FALSE FALSE FALSE
## [637,] FALSE FALSE FALSE
## [638,] FALSE FALSE FALSE
## [639,] FALSE FALSE FALSE
## [640,] FALSE FALSE FALSE
## [641,] FALSE FALSE FALSE
## [642,] FALSE FALSE FALSE
## [643,] FALSE FALSE FALSE
## [644,] FALSE FALSE FALSE
## [645,] FALSE FALSE FALSE
## [646,] FALSE FALSE FALSE
## [647,] FALSE FALSE FALSE
## [648,] FALSE FALSE FALSE
## [649,] FALSE FALSE FALSE
## [650,] FALSE FALSE FALSE
## [651,] FALSE FALSE FALSE
## [652,] FALSE FALSE FALSE
## [653,] FALSE FALSE FALSE
## [654,] FALSE FALSE FALSE
## [655,] FALSE FALSE FALSE
## [656,] FALSE FALSE FALSE
## [657,] FALSE FALSE FALSE
## [658,] FALSE FALSE FALSE
## [659,] FALSE FALSE FALSE
## [660,] FALSE FALSE FALSE
## [661,] FALSE FALSE FALSE
## [662,] FALSE FALSE FALSE
## [663,] FALSE FALSE FALSE
## [664,] FALSE FALSE FALSE
## [665,] FALSE FALSE FALSE
## [666,] FALSE FALSE FALSE
## [667,] FALSE FALSE FALSE
## [668,] FALSE FALSE FALSE
## [669,] FALSE FALSE FALSE
## [670,] FALSE FALSE FALSE
## [671,] FALSE FALSE FALSE
## [672,] FALSE FALSE FALSE
## [673,] FALSE FALSE FALSE
## [674,] FALSE FALSE FALSE
## [675,] FALSE FALSE FALSE
## [676,] FALSE FALSE FALSE
## [677,] FALSE FALSE FALSE
## [678,] FALSE FALSE FALSE
## [679,] FALSE FALSE FALSE
## [680,] FALSE FALSE FALSE
## [681,] FALSE FALSE FALSE
## [682,] FALSE FALSE FALSE
## [683,] FALSE FALSE FALSE
## [684,] FALSE FALSE FALSE
## [685,] FALSE FALSE FALSE
## [686,] FALSE FALSE FALSE
## [687,] FALSE FALSE FALSE
## [688,] FALSE FALSE FALSE
## [689,] FALSE FALSE FALSE
## [690,] FALSE FALSE FALSE
## [691,] FALSE FALSE FALSE
## [692,] FALSE FALSE FALSE
## [693,] FALSE FALSE FALSE
## [694,] FALSE FALSE FALSE
## [695,] FALSE FALSE FALSE
## [696,] FALSE FALSE FALSE
## [697,] FALSE FALSE FALSE
## [698,] FALSE FALSE FALSE
## [699,] FALSE FALSE FALSE
## [700,] FALSE FALSE FALSE
## [701,] FALSE FALSE FALSE
## [702,] FALSE FALSE FALSE
## [703,] FALSE FALSE FALSE
## [704,] FALSE FALSE FALSE
## [705,] FALSE FALSE FALSE
## [706,] FALSE FALSE FALSE
## [707,] FALSE FALSE FALSE
## [708,] FALSE FALSE FALSE
## [709,] FALSE FALSE FALSE
## [710,] FALSE FALSE FALSE
## [711,] FALSE FALSE FALSE
## [712,] FALSE FALSE FALSE
## [713,] FALSE FALSE FALSE
## [714,] FALSE FALSE FALSE
## [715,] FALSE FALSE FALSE
## [716,] FALSE FALSE FALSE
## [717,] FALSE FALSE FALSE
## [718,] FALSE FALSE FALSE
## [719,] FALSE FALSE FALSE
## [720,] FALSE FALSE FALSE
## [721,] FALSE FALSE FALSE
## [722,] FALSE FALSE FALSE
## [723,] FALSE FALSE FALSE
## [724,] FALSE FALSE FALSE
## [725,] FALSE FALSE FALSE
## [726,] FALSE FALSE FALSE
## [727,] FALSE FALSE FALSE
## [728,] FALSE FALSE FALSE
## [729,] FALSE FALSE FALSE
## [730,] FALSE FALSE FALSE
## [731,] FALSE FALSE FALSE
## [732,] FALSE FALSE FALSE
## [733,] FALSE FALSE FALSE
## [734,] FALSE FALSE FALSE
## [735,] FALSE FALSE FALSE
## [736,] FALSE FALSE FALSE
## [737,] FALSE FALSE FALSE
## [738,] FALSE FALSE FALSE
## [739,] FALSE FALSE FALSE
## [740,] FALSE FALSE FALSE
## [741,] FALSE FALSE FALSE
## [742,] FALSE FALSE FALSE
## [743,] FALSE FALSE FALSE
## [744,] FALSE FALSE FALSE
## [745,] FALSE FALSE FALSE
## [746,] FALSE FALSE FALSE
## [747,] FALSE FALSE FALSE
## [748,] FALSE FALSE FALSE
## [749,] FALSE FALSE FALSE
## [750,] FALSE FALSE FALSE
## [751,] FALSE FALSE FALSE
## [752,] FALSE FALSE FALSE
## [753,] FALSE FALSE FALSE
## [754,] FALSE FALSE FALSE
## [755,] FALSE FALSE FALSE
## [756,] FALSE FALSE FALSE
## [757,] FALSE FALSE FALSE
## [758,] FALSE FALSE FALSE
## [759,] FALSE FALSE FALSE
## [760,] FALSE FALSE FALSE
## [761,] FALSE FALSE FALSE
## [762,] FALSE FALSE FALSE
## [763,] FALSE FALSE FALSE
## [764,] FALSE FALSE FALSE
## [765,] FALSE FALSE FALSE
## [766,] FALSE FALSE FALSE
## [767,] FALSE FALSE FALSE
## [768,] FALSE FALSE FALSE
## [769,] FALSE FALSE FALSE
## [770,] FALSE FALSE FALSE
## [771,] FALSE FALSE FALSE
## [772,] FALSE FALSE FALSE
## [773,] FALSE FALSE FALSE
## [774,] FALSE FALSE FALSE
## [775,] FALSE FALSE FALSE
## [776,] FALSE FALSE FALSE
## [777,] FALSE FALSE FALSE
## [778,] FALSE FALSE FALSE
## [779,] FALSE FALSE FALSE
## [780,] FALSE FALSE FALSE
## [781,] FALSE FALSE FALSE
## [782,] FALSE FALSE FALSE
## [783,] FALSE FALSE FALSE
## [784,] FALSE FALSE FALSE
## [785,] FALSE FALSE FALSE
## [786,] FALSE FALSE FALSE
## [787,] FALSE FALSE FALSE
## [788,] FALSE FALSE FALSE
## [789,] FALSE FALSE FALSE
## [790,] FALSE FALSE FALSE
## [791,] FALSE FALSE FALSE
## [792,] FALSE FALSE FALSE
## [793,] FALSE FALSE FALSE
## [794,] FALSE FALSE FALSE
## [795,] FALSE FALSE FALSE
## [796,] FALSE FALSE FALSE
## [797,] FALSE FALSE FALSE
## [798,] FALSE FALSE FALSE
## [799,] FALSE FALSE FALSE
## [800,] FALSE FALSE FALSE
## [801,] FALSE FALSE FALSE
## [802,] FALSE FALSE FALSE
## [803,] FALSE FALSE FALSE
## [804,] FALSE FALSE FALSE
## [805,] FALSE FALSE FALSE
## [806,] FALSE FALSE FALSE
## [807,] FALSE FALSE FALSE
## [808,] FALSE FALSE FALSE
## [809,] FALSE FALSE FALSE
## [810,] FALSE FALSE FALSE
## [811,] FALSE FALSE FALSE
## [812,] FALSE FALSE FALSE
## [813,] FALSE FALSE FALSE
## [814,] FALSE FALSE FALSE
## [815,] FALSE FALSE FALSE
## [816,] FALSE FALSE FALSE
## [817,] FALSE FALSE FALSE
## [818,] FALSE FALSE FALSE
## [819,] FALSE FALSE FALSE
## [820,] FALSE FALSE FALSE
## [821,] FALSE FALSE FALSE
## [822,] FALSE FALSE FALSE
## [823,] FALSE FALSE FALSE
## [824,] FALSE FALSE FALSE
## [825,] FALSE FALSE FALSE
## [826,] FALSE FALSE FALSE
## [827,] FALSE FALSE FALSE
## [828,] FALSE FALSE FALSE
## [829,] FALSE FALSE FALSE
## [830,] FALSE FALSE FALSE
## [831,] FALSE FALSE FALSE
## [832,] FALSE FALSE FALSE
## [833,] FALSE FALSE FALSE
## [834,] FALSE FALSE FALSE
## [835,] FALSE FALSE FALSE
## [836,] FALSE FALSE FALSE
## [837,] FALSE FALSE FALSE
## [838,] FALSE FALSE FALSE
## [839,] FALSE FALSE FALSE
## [840,] FALSE FALSE FALSE
## [841,] FALSE FALSE FALSE
## [842,] FALSE FALSE FALSE
## [843,] FALSE FALSE FALSE
## [844,] FALSE FALSE FALSE
## [845,] FALSE FALSE FALSE
## [846,] FALSE FALSE FALSE
## [847,] FALSE FALSE FALSE
## [848,] FALSE FALSE FALSE
## [849,] FALSE FALSE FALSE
## [850,] FALSE FALSE FALSE
## [851,] FALSE FALSE FALSE
## [852,] FALSE FALSE FALSE
## [853,] FALSE FALSE FALSE
## [854,] FALSE FALSE FALSE
## [855,] FALSE FALSE FALSE
## [856,] FALSE FALSE FALSE
## [857,] FALSE FALSE FALSE
## [858,] FALSE FALSE FALSE
## [859,] FALSE FALSE FALSE
## [860,] FALSE FALSE FALSE
## [861,] FALSE FALSE FALSE
## [862,] FALSE FALSE FALSE
## [863,] FALSE FALSE FALSE
## [864,] FALSE FALSE FALSE
## [865,] FALSE FALSE FALSE
## [866,] FALSE FALSE FALSE
## [867,] FALSE FALSE FALSE
## [868,] FALSE FALSE FALSE
## [869,] FALSE FALSE FALSE
## [870,] FALSE FALSE FALSEemployeeClean = na.omit(employee)
#Summarizing data
str(employeeClean)## 'data.frame': 870 obs. of 36 variables:
## $ ID : int 1 2 3 4 5 6 7 8 9 10 ...
## $ Age : int 32 40 35 32 24 27 41 37 34 34 ...
## $ Attrition : chr "No" "No" "No" "No" ...
## $ BusinessTravel : chr "Travel_Rarely" "Travel_Rarely" "Travel_Frequently" "Travel_Rarely" ...
## $ DailyRate : int 117 1308 200 801 567 294 1283 309 1333 653 ...
## $ Department : chr "Sales" "Research & Development" "Research & Development" "Sales" ...
## $ DistanceFromHome : int 13 14 18 1 2 10 5 10 10 10 ...
## $ Education : int 4 3 2 4 1 2 5 4 4 4 ...
## $ EducationField : chr "Life Sciences" "Medical" "Life Sciences" "Marketing" ...
## $ EmployeeCount : int 1 1 1 1 1 1 1 1 1 1 ...
## $ EmployeeNumber : int 859 1128 1412 2016 1646 733 1448 1105 1055 1597 ...
## $ EnvironmentSatisfaction : int 2 3 3 3 1 4 2 4 3 4 ...
## $ Gender : chr "Male" "Male" "Male" "Female" ...
## $ HourlyRate : int 73 44 60 48 32 32 90 88 87 92 ...
## $ JobInvolvement : int 3 2 3 3 3 3 4 2 3 2 ...
## $ JobLevel : int 2 5 3 3 1 3 1 2 1 2 ...
## $ JobRole : chr "Sales Executive" "Research Director" "Manufacturing Director" "Sales Executive" ...
## $ JobSatisfaction : int 4 3 4 4 4 1 3 4 3 3 ...
## $ MaritalStatus : chr "Divorced" "Single" "Single" "Married" ...
## $ MonthlyIncome : int 4403 19626 9362 10422 3760 8793 2127 6694 2220 5063 ...
## $ MonthlyRate : int 9250 17544 19944 24032 17218 4809 5561 24223 18410 15332 ...
## $ NumCompaniesWorked : int 2 1 2 1 1 1 2 2 1 1 ...
## $ Over18 : chr "Y" "Y" "Y" "Y" ...
## $ OverTime : chr "No" "No" "No" "No" ...
## $ PercentSalaryHike : int 11 14 11 19 13 21 12 14 19 14 ...
## $ PerformanceRating : int 3 3 3 3 3 4 3 3 3 3 ...
## $ RelationshipSatisfaction: int 3 1 3 3 3 3 1 3 4 2 ...
## $ StandardHours : int 80 80 80 80 80 80 80 80 80 80 ...
## $ StockOptionLevel : int 1 0 0 2 0 2 0 3 1 1 ...
## $ TotalWorkingYears : int 8 21 10 14 6 9 7 8 1 8 ...
## $ TrainingTimesLastYear : int 3 2 2 3 2 4 5 5 2 3 ...
## $ WorkLifeBalance : int 2 4 3 3 3 2 2 3 3 2 ...
## $ YearsAtCompany : int 5 20 2 14 6 9 4 1 1 8 ...
## $ YearsInCurrentRole : int 2 7 2 10 3 7 2 0 1 2 ...
## $ YearsSinceLastPromotion : int 0 4 2 5 1 1 0 0 0 7 ...
## $ YearsWithCurrManager : int 3 9 2 7 3 7 3 0 0 7 ...summary(employeeClean)## ID Age Attrition BusinessTravel
## Min. : 1.0 Min. :18.00 Length:870 Length:870
## 1st Qu.:218.2 1st Qu.:30.00 Class :character Class :character
## Median :435.5 Median :35.00 Mode :character Mode :character
## Mean :435.5 Mean :36.83
## 3rd Qu.:652.8 3rd Qu.:43.00
## Max. :870.0 Max. :60.00
## DailyRate Department DistanceFromHome Education
## Min. : 103.0 Length:870 Min. : 1.000 Min. :1.000
## 1st Qu.: 472.5 Class :character 1st Qu.: 2.000 1st Qu.:2.000
## Median : 817.5 Mode :character Median : 7.000 Median :3.000
## Mean : 815.2 Mean : 9.339 Mean :2.901
## 3rd Qu.:1165.8 3rd Qu.:14.000 3rd Qu.:4.000
## Max. :1499.0 Max. :29.000 Max. :5.000
## EducationField EmployeeCount EmployeeNumber EnvironmentSatisfaction
## Length:870 Min. :1 Min. : 1.0 Min. :1.000
## Class :character 1st Qu.:1 1st Qu.: 477.2 1st Qu.:2.000
## Mode :character Median :1 Median :1039.0 Median :3.000
## Mean :1 Mean :1029.8 Mean :2.701
## 3rd Qu.:1 3rd Qu.:1561.5 3rd Qu.:4.000
## Max. :1 Max. :2064.0 Max. :4.000
## Gender HourlyRate JobInvolvement JobLevel
## Length:870 Min. : 30.00 Min. :1.000 Min. :1.000
## Class :character 1st Qu.: 48.00 1st Qu.:2.000 1st Qu.:1.000
## Mode :character Median : 66.00 Median :3.000 Median :2.000
## Mean : 65.61 Mean :2.723 Mean :2.039
## 3rd Qu.: 83.00 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :100.00 Max. :4.000 Max. :5.000
## JobRole JobSatisfaction MaritalStatus MonthlyIncome
## Length:870 Min. :1.000 Length:870 Min. : 1081
## Class :character 1st Qu.:2.000 Class :character 1st Qu.: 2840
## Mode :character Median :3.000 Mode :character Median : 4946
## Mean :2.709 Mean : 6390
## 3rd Qu.:4.000 3rd Qu.: 8182
## Max. :4.000 Max. :19999
## MonthlyRate NumCompaniesWorked Over18 OverTime
## Min. : 2094 Min. :0.000 Length:870 Length:870
## 1st Qu.: 8092 1st Qu.:1.000 Class :character Class :character
## Median :14074 Median :2.000 Mode :character Mode :character
## Mean :14326 Mean :2.728
## 3rd Qu.:20456 3rd Qu.:4.000
## Max. :26997 Max. :9.000
## PercentSalaryHike PerformanceRating RelationshipSatisfaction StandardHours
## Min. :11.0 Min. :3.000 Min. :1.000 Min. :80
## 1st Qu.:12.0 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:80
## Median :14.0 Median :3.000 Median :3.000 Median :80
## Mean :15.2 Mean :3.152 Mean :2.707 Mean :80
## 3rd Qu.:18.0 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:80
## Max. :25.0 Max. :4.000 Max. :4.000 Max. :80
## StockOptionLevel TotalWorkingYears TrainingTimesLastYear WorkLifeBalance
## Min. :0.0000 Min. : 0.00 Min. :0.000 Min. :1.000
## 1st Qu.:0.0000 1st Qu.: 6.00 1st Qu.:2.000 1st Qu.:2.000
## Median :1.0000 Median :10.00 Median :3.000 Median :3.000
## Mean :0.7839 Mean :11.05 Mean :2.832 Mean :2.782
## 3rd Qu.:1.0000 3rd Qu.:15.00 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :3.0000 Max. :40.00 Max. :6.000 Max. :4.000
## YearsAtCompany YearsInCurrentRole YearsSinceLastPromotion
## Min. : 0.000 Min. : 0.000 Min. : 0.000
## 1st Qu.: 3.000 1st Qu.: 2.000 1st Qu.: 0.000
## Median : 5.000 Median : 3.000 Median : 1.000
## Mean : 6.962 Mean : 4.205 Mean : 2.169
## 3rd Qu.:10.000 3rd Qu.: 7.000 3rd Qu.: 3.000
## Max. :40.000 Max. :18.000 Max. :15.000
## YearsWithCurrManager
## Min. : 0.00
## 1st Qu.: 2.00
## Median : 3.00
## Mean : 4.14
## 3rd Qu.: 7.00
## Max. :17.00#Changed OverTime to binary category
#Converting the Overtime fields to a binary category for scalability
employeeClean$OverTimeBinary = ifelse(employeeClean$OverTime =="Yes", 1,0) #Scaled columns for comparison of multiple variables
#Scaling columns
employeeClean$MonthlyIncomeScale = scale(employeeClean$MonthlyIncome)
employeeClean$AgeScale = scale(employeeClean$Age)
employeeClean$EnvironmentSatisfactionScale = scale(employeeClean$EnvironmentSatisfaction)
employeeClean$OverTimeScale = scale(employeeClean$OverTimeBinary)
employeeClean$YearsAtCompanyScale = scale(employeeClean$YearsAtCompany)
#Verifying scale
employeeClean## ID Age Attrition BusinessTravel DailyRate Department
## 1 1 32 No Travel_Rarely 117 Sales
## 2 2 40 No Travel_Rarely 1308 Research & Development
## 3 3 35 No Travel_Frequently 200 Research & Development
## 4 4 32 No Travel_Rarely 801 Sales
## 5 5 24 No Travel_Frequently 567 Research & Development
## 6 6 27 No Travel_Frequently 294 Research & Development
## 7 7 41 No Travel_Rarely 1283 Research & Development
## 8 8 37 No Travel_Rarely 309 Sales
## 9 9 34 No Travel_Rarely 1333 Sales
## 10 10 34 No Travel_Frequently 653 Research & Development
## 11 11 43 No Travel_Rarely 823 Research & Development
## 12 12 28 No Non-Travel 280 Human Resources
## 13 13 35 No Travel_Rarely 950 Research & Development
## 14 14 30 No Travel_Rarely 202 Sales
## 15 15 46 No Travel_Rarely 991 Human Resources
## 16 16 31 No Non-Travel 1188 Sales
## 17 17 32 No Travel_Rarely 498 Research & Development
## 18 18 46 No Non-Travel 1144 Research & Development
## 19 19 34 No Travel_Rarely 181 Research & Development
## 20 20 44 No Travel_Rarely 170 Research & Development
## 21 21 36 No Travel_Rarely 913 Research & Development
## 22 22 48 No Travel_Rarely 817 Sales
## 23 23 43 No Travel_Frequently 1001 Research & Development
## 24 24 31 No Travel_Frequently 715 Sales
## 25 25 33 No Travel_Rarely 1069 Research & Development
## 26 26 44 No Travel_Rarely 1099 Sales
## 27 27 38 No Travel_Rarely 1245 Sales
## 28 28 33 Yes Travel_Rarely 603 Sales
## 29 29 53 Yes Travel_Rarely 1168 Sales
## 30 30 52 No Non-Travel 715 Research & Development
## 31 31 32 No Travel_Frequently 689 Sales
## 32 32 33 No Travel_Rarely 267 Research & Development
## 33 33 46 No Travel_Rarely 488 Sales
## 34 34 35 No Travel_Rarely 982 Research & Development
## 35 35 32 No Travel_Rarely 1373 Research & Development
## 36 36 32 No Travel_Frequently 1311 Research & Development
## 37 37 35 Yes Travel_Rarely 737 Sales
## 38 38 36 Yes Travel_Rarely 1456 Sales
## 39 39 56 No Travel_Rarely 206 Human Resources
## 40 40 31 No Travel_Frequently 793 Sales
## 41 41 58 No Non-Travel 350 Sales
## 42 42 45 No Travel_Rarely 954 Sales
## 43 43 49 No Travel_Rarely 464 Research & Development
## 44 44 42 No Travel_Rarely 1059 Research & Development
## 45 45 23 No Travel_Rarely 373 Research & Development
## 46 46 42 No Travel_Frequently 748 Research & Development
## 47 47 32 Yes Travel_Rarely 964 Sales
## 48 48 38 No Travel_Rarely 770 Sales
## 49 49 18 Yes Travel_Frequently 1306 Sales
## 50 50 27 No Non-Travel 691 Research & Development
## 51 51 38 No Travel_Rarely 362 Research & Development
## 52 52 58 No Travel_Rarely 1055 Research & Development
## 53 53 44 No Travel_Rarely 1117 Research & Development
## 54 54 45 No Non-Travel 805 Research & Development
## 55 55 31 No Travel_Rarely 746 Research & Development
## 56 56 41 No Travel_Rarely 548 Research & Development
## 57 57 42 Yes Travel_Frequently 933 Research & Development
## 58 58 29 No Travel_Rarely 1370 Research & Development
## 59 59 37 No Non-Travel 728 Research & Development
## 60 60 25 Yes Travel_Frequently 599 Sales
## 61 61 36 Yes Travel_Rarely 530 Sales
## 62 62 36 No Travel_Rarely 325 Research & Development
## 63 63 31 No Travel_Rarely 1154 Sales
## 64 64 18 No Non-Travel 1431 Research & Development
## 65 65 24 Yes Travel_Rarely 984 Research & Development
## 66 66 32 No Travel_Rarely 334 Research & Development
## 67 67 35 No Travel_Rarely 1017 Research & Development
## 68 68 23 No Travel_Rarely 571 Research & Development
## 69 69 35 No Travel_Frequently 664 Research & Development
## 70 70 37 No Travel_Rarely 1372 Research & Development
## 71 71 41 No Travel_Rarely 642 Research & Development
## 72 72 28 No Travel_Rarely 866 Sales
## 73 73 35 Yes Travel_Rarely 556 Research & Development
## 74 74 41 No Travel_Rarely 167 Research & Development
## 75 75 52 Yes Travel_Rarely 1030 Sales
## 76 76 30 No Travel_Frequently 721 Research & Development
## 77 77 34 No Travel_Rarely 971 Sales
## 78 78 46 No Travel_Rarely 563 Sales
## 79 79 45 No Non-Travel 1052 Sales
## 80 80 31 No Travel_Rarely 1276 Research & Development
## 81 81 37 Yes Travel_Rarely 1141 Research & Development
## 82 82 35 No Travel_Rarely 1370 Research & Development
## 83 83 38 No Travel_Frequently 508 Research & Development
## 84 84 37 No Travel_Rarely 1319 Research & Development
## 85 85 36 No Travel_Rarely 429 Research & Development
## 86 86 59 No Travel_Rarely 715 Research & Development
## 87 87 47 No Travel_Rarely 703 Sales
## 88 88 35 Yes Travel_Rarely 622 Research & Development
## 89 89 27 No Travel_Frequently 994 Sales
## 90 90 46 No Travel_Rarely 705 Sales
## 91 91 38 No Travel_Frequently 1490 Research & Development
## 92 92 29 Yes Travel_Rarely 408 Sales
## 93 93 37 Yes Travel_Rarely 1373 Research & Development
## 94 94 35 No Travel_Rarely 670 Research & Development
## 95 95 50 No Travel_Rarely 1452 Research & Development
## 96 96 42 No Travel_Rarely 635 Sales
## 97 97 46 No Travel_Rarely 228 Sales
## 98 98 37 No Non-Travel 1040 Research & Development
## 99 99 29 No Travel_Frequently 410 Research & Development
## 100 100 34 No Travel_Rarely 401 Research & Development
## 101 101 27 No Travel_Rarely 1377 Research & Development
## 102 102 31 No Travel_Rarely 326 Sales
## 103 103 34 No Non-Travel 1381 Sales
## 104 104 23 No Travel_Rarely 885 Research & Development
## 105 105 53 No Travel_Rarely 447 Research & Development
## 106 106 26 No Travel_Rarely 1384 Research & Development
## 107 107 29 No Non-Travel 1496 Research & Development
## 108 108 55 No Travel_Rarely 189 Human Resources
## 109 109 46 Yes Travel_Rarely 261 Research & Development
## 110 110 32 No Travel_Rarely 529 Research & Development
## 111 111 28 No Travel_Frequently 773 Research & Development
## 112 112 52 No Travel_Rarely 1053 Research & Development
## 113 113 52 No Travel_Rarely 994 Research & Development
## 114 114 35 No Non-Travel 1225 Research & Development
## 115 115 35 No Travel_Rarely 1361 Sales
## 116 116 37 No Non-Travel 1252 Sales
## 117 117 25 No Travel_Rarely 1356 Sales
## 118 118 29 No Travel_Rarely 1378 Research & Development
## 119 119 41 No Travel_Rarely 465 Research & Development
## 120 120 34 No Travel_Rarely 404 Research & Development
## 121 121 36 No Non-Travel 427 Research & Development
## 122 122 21 No Travel_Rarely 501 Sales
## 123 123 45 No Travel_Rarely 930 Sales
## 124 124 38 No Travel_Rarely 243 Sales
## 125 125 29 No Travel_Frequently 442 Sales
## 126 126 35 No Travel_Rarely 1224 Sales
## 127 127 32 Yes Travel_Frequently 1125 Research & Development
## 128 128 45 No Travel_Rarely 556 Research & Development
## 129 129 43 No Travel_Rarely 930 Research & Development
## 130 130 46 No Travel_Rarely 1319 Sales
## 131 131 29 No Travel_Rarely 991 Sales
## 132 132 49 No Travel_Rarely 1313 Sales
## 133 133 42 No Travel_Frequently 1368 Research & Development
## 134 134 39 No Travel_Rarely 492 Research & Development
## 135 135 43 No Travel_Frequently 559 Research & Development
## 136 136 40 No Travel_Frequently 791 Research & Development
## 137 137 29 Yes Travel_Rarely 805 Research & Development
## 138 138 54 No Travel_Rarely 1441 Research & Development
## 139 139 39 Yes Travel_Rarely 1122 Research & Development
## 140 140 37 No Travel_Rarely 1189 Sales
## 141 141 56 No Travel_Rarely 1369 Research & Development
## 142 142 58 No Travel_Rarely 848 Research & Development
## 143 143 46 No Travel_Rarely 566 Research & Development
## 144 144 37 No Travel_Rarely 228 Sales
## 145 145 40 No Travel_Rarely 1202 Research & Development
## 146 146 29 No Non-Travel 746 Sales
## 147 147 33 No Travel_Rarely 931 Research & Development
## 148 148 33 No Travel_Rarely 1242 Sales
## 149 149 24 No Travel_Rarely 477 Research & Development
## 150 150 28 No Travel_Rarely 580 Research & Development
## 151 151 31 Yes Travel_Rarely 1365 Sales
## 152 152 32 No Travel_Rarely 929 Sales
## 153 153 32 No Travel_Rarely 906 Sales
## 154 154 41 No Travel_Rarely 447 Research & Development
## 155 155 34 No Travel_Rarely 546 Research & Development
## 156 156 30 No Non-Travel 641 Sales
## 157 157 40 No Travel_Rarely 444 Sales
## 158 158 39 Yes Travel_Frequently 203 Research & Development
## 159 159 43 No Travel_Frequently 1082 Research & Development
## 160 160 42 No Travel_Frequently 458 Research & Development
## 161 161 30 No Travel_Rarely 852 Research & Development
## 162 162 28 Yes Non-Travel 1366 Research & Development
## 163 163 33 No Travel_Rarely 1216 Sales
## 164 164 42 No Travel_Rarely 916 Research & Development
## 165 165 35 No Travel_Rarely 1232 Sales
## 166 166 20 Yes Travel_Rarely 500 Sales
## 167 167 49 No Travel_Rarely 301 Research & Development
## 168 168 33 No Travel_Rarely 922 Research & Development
## 169 169 52 No Travel_Rarely 956 Research & Development
## 170 170 29 No Travel_Rarely 1107 Research & Development
## 171 171 30 No Travel_Rarely 501 Sales
## 172 172 47 No Non-Travel 1169 Research & Development
## 173 173 46 No Travel_Frequently 1034 Research & Development
## 174 174 33 No Travel_Rarely 536 Sales
## 175 175 53 No Travel_Rarely 1376 Sales
## 176 176 21 No Travel_Rarely 984 Research & Development
## 177 177 55 Yes Travel_Rarely 725 Research & Development
## 178 178 26 Yes Travel_Frequently 342 Research & Development
## 179 179 32 No Travel_Frequently 967 Sales
## 180 180 38 No Travel_Rarely 702 Sales
## 181 181 35 No Travel_Rarely 819 Research & Development
## 182 182 38 No Travel_Rarely 1009 Sales
## 183 183 43 No Travel_Frequently 957 Research & Development
## 184 184 39 No Travel_Rarely 1089 Research & Development
## 185 185 39 No Travel_Frequently 443 Research & Development
## 186 186 28 No Travel_Rarely 1158 Research & Development
## 187 187 25 No Travel_Frequently 772 Research & Development
## 188 188 47 No Travel_Rarely 1225 Sales
## 189 189 50 No Travel_Rarely 797 Research & Development
## 190 190 28 No Non-Travel 120 Sales
## 191 191 30 No Travel_Rarely 1275 Research & Development
## 192 192 31 No Travel_Frequently 1125 Sales
## 193 193 46 No Travel_Rarely 1485 Research & Development
## 194 194 48 No Travel_Rarely 163 Sales
## 195 195 26 No Travel_Rarely 683 Research & Development
## 196 196 51 No Travel_Rarely 833 Research & Development
## 197 197 51 No Travel_Rarely 432 Research & Development
## 198 198 49 No Travel_Rarely 174 Sales
## 199 199 44 No Travel_Rarely 477 Research & Development
## 200 200 24 No Travel_Rarely 823 Research & Development
## 201 201 40 Yes Non-Travel 1479 Sales
## 202 202 32 No Travel_Rarely 548 Research & Development
## 203 203 32 No Travel_Rarely 859 Research & Development
## 204 204 28 Yes Travel_Rarely 654 Research & Development
## 205 205 32 No Travel_Rarely 1401 Sales
## 206 206 44 No Travel_Rarely 661 Research & Development
## 207 207 43 Yes Travel_Rarely 1372 Sales
## 208 208 38 Yes Travel_Rarely 1180 Research & Development
## 209 209 30 No Travel_Rarely 201 Research & Development
## 210 210 41 No Travel_Rarely 802 Sales
## 211 211 41 No Travel_Rarely 582 Research & Development
## 212 212 42 No Travel_Rarely 265 Sales
## 213 213 37 No Travel_Rarely 1225 Research & Development
## 214 214 42 No Travel_Rarely 932 Research & Development
## 215 215 27 No Travel_Rarely 1115 Research & Development
## 216 216 40 No Travel_Rarely 896 Research & Development
## 217 217 38 No Travel_Rarely 1495 Research & Development
## 218 218 48 No Travel_Frequently 117 Research & Development
## 219 219 30 No Travel_Rarely 438 Research & Development
## 220 220 26 No Travel_Rarely 583 Research & Development
## 221 221 34 No Travel_Rarely 304 Sales
## 222 222 45 Yes Travel_Frequently 306 Sales
## 223 223 33 No Non-Travel 530 Sales
## 224 224 28 No Travel_Rarely 1423 Research & Development
## 225 225 38 No Travel_Rarely 1206 Research & Development
## 226 226 30 No Travel_Rarely 911 Research & Development
## 227 227 35 No Travel_Rarely 464 Research & Development
## 228 228 22 No Travel_Rarely 1136 Research & Development
## 229 229 24 No Travel_Rarely 1353 Sales
## 230 230 49 No Travel_Rarely 465 Research & Development
## 231 231 45 No Travel_Rarely 1329 Research & Development
## 232 232 35 No Travel_Rarely 890 Sales
## 233 233 47 Yes Travel_Frequently 1093 Sales
## 234 234 54 No Travel_Rarely 1147 Sales
## 235 235 43 No Travel_Frequently 394 Sales
## 236 236 37 Yes Travel_Rarely 625 Sales
## 237 237 42 No Travel_Rarely 300 Research & Development
## 238 238 32 No Travel_Rarely 646 Research & Development
## 239 239 25 No Travel_Rarely 309 Human Resources
## 240 240 50 No Travel_Rarely 813 Research & Development
## 241 241 42 No Travel_Rarely 319 Research & Development
## 242 242 45 No Travel_Frequently 364 Research & Development
## 243 243 29 No Travel_Rarely 1328 Research & Development
## 244 244 25 Yes Travel_Rarely 383 Sales
## 245 245 29 No Travel_Rarely 718 Research & Development
## 246 246 29 No Travel_Rarely 1086 Research & Development
## 247 247 31 No Travel_Rarely 1232 Research & Development
## 248 248 32 No Travel_Rarely 234 Sales
## 249 249 41 No Travel_Frequently 1200 Research & Development
## 250 250 41 No Travel_Rarely 1276 Sales
## 251 251 33 No Non-Travel 1313 Research & Development
## 252 252 36 No Non-Travel 1229 Sales
## 253 253 45 No Travel_Rarely 252 Research & Development
## 254 254 31 Yes Travel_Rarely 359 Human Resources
## 255 255 40 No Non-Travel 218 Research & Development
## 256 256 43 No Non-Travel 343 Research & Development
## 257 257 31 No Travel_Frequently 444 Sales
## 258 258 30 No Travel_Rarely 855 Sales
## 259 259 34 No Travel_Rarely 1480 Sales
## 260 260 25 No Travel_Rarely 977 Research & Development
## 261 261 31 Yes Travel_Frequently 703 Sales
## 262 262 29 Yes Travel_Rarely 224 Research & Development
## 263 263 33 Yes Travel_Rarely 813 Research & Development
## 264 264 29 No Travel_Frequently 1404 Sales
## 265 265 24 No Travel_Rarely 1127 Research & Development
## 266 266 35 No Travel_Rarely 809 Research & Development
## 267 267 34 No Travel_Frequently 829 Research & Development
## 268 268 32 Yes Travel_Rarely 1259 Research & Development
## 269 269 33 No Travel_Frequently 1303 Research & Development
## 270 270 30 No Travel_Rarely 1176 Research & Development
## 271 271 45 No Non-Travel 589 Sales
## 272 272 34 No Travel_Rarely 1130 Research & Development
## 273 273 27 No Travel_Rarely 728 Sales
## 274 274 36 No Travel_Rarely 329 Sales
## 275 275 55 No Travel_Rarely 692 Research & Development
## 276 276 56 No Travel_Rarely 718 Research & Development
## 277 277 22 No Travel_Rarely 253 Research & Development
## 278 278 43 No Travel_Frequently 185 Research & Development
## 279 279 25 Yes Travel_Rarely 240 Sales
## 280 280 55 No Travel_Rarely 1229 Research & Development
## 281 281 43 No Travel_Rarely 1179 Sales
## 282 282 41 No Travel_Rarely 263 Research & Development
## 283 283 40 No Travel_Rarely 1194 Research & Development
## 284 284 31 No Travel_Rarely 691 Sales
## 285 285 38 No Travel_Rarely 433 Human Resources
## 286 286 33 No Travel_Rarely 589 Research & Development
## 287 287 22 Yes Travel_Rarely 391 Research & Development
## 288 288 34 No Travel_Rarely 1346 Research & Development
## 289 289 36 No Travel_Frequently 1467 Sales
## 290 290 35 No Travel_Rarely 384 Sales
## 291 291 45 No Travel_Rarely 974 Research & Development
## 292 292 36 No Non-Travel 1105 Research & Development
## 293 293 27 No Travel_Rarely 894 Research & Development
## 294 294 47 No Non-Travel 1162 Research & Development
## 295 295 40 No Travel_Rarely 898 Human Resources
## 296 296 35 No Travel_Rarely 1490 Research & Development
## 297 297 34 No Travel_Frequently 1069 Research & Development
## 298 298 34 Yes Travel_Frequently 658 Research & Development
## 299 299 31 Yes Non-Travel 335 Research & Development
## 300 300 28 Yes Travel_Rarely 1157 Research & Development
## 301 301 32 No Travel_Frequently 379 Sales
## 302 302 35 No Travel_Frequently 853 Sales
## 303 303 55 No Travel_Rarely 1441 Research & Development
## 304 304 35 No Travel_Rarely 1395 Research & Development
## 305 305 58 Yes Travel_Rarely 289 Research & Development
## 306 306 24 No Non-Travel 1269 Research & Development
## 307 307 50 No Travel_Rarely 804 Research & Development
## 308 308 34 No Non-Travel 697 Research & Development
## 309 309 55 No Travel_Frequently 135 Research & Development
## 310 310 25 No Travel_Rarely 810 Sales
## 311 311 34 No Travel_Rarely 1351 Research & Development
## 312 312 40 No Travel_Rarely 302 Research & Development
## 313 313 31 Yes Travel_Frequently 561 Research & Development
## 314 314 51 No Travel_Rarely 1169 Research & Development
## 315 315 60 No Travel_Rarely 1179 Sales
## 316 316 47 No Travel_Rarely 955 Sales
## 317 317 34 No Travel_Frequently 303 Sales
## 318 318 24 No Travel_Rarely 771 Research & Development
## 319 319 39 No Travel_Rarely 1498 Sales
## 320 320 19 No Travel_Rarely 265 Research & Development
## 321 321 32 No Non-Travel 1184 Research & Development
## 322 322 34 No Travel_Rarely 1397 Research & Development
## 323 323 30 No Travel_Frequently 1012 Research & Development
## 324 324 46 No Travel_Rarely 1003 Research & Development
## 325 325 39 No Travel_Rarely 466 Research & Development
## 326 326 27 No Travel_Rarely 618 Research & Development
## 327 327 44 No Travel_Rarely 1313 Research & Development
## 328 328 42 No Travel_Rarely 557 Research & Development
## 329 329 38 No Travel_Frequently 1394 Research & Development
## 330 330 42 No Travel_Rarely 1147 Human Resources
## 331 331 49 No Travel_Rarely 809 Research & Development
## 332 332 32 Yes Travel_Rarely 1045 Sales
## 333 333 44 Yes Travel_Frequently 429 Research & Development
## 334 334 27 No Travel_Rarely 608 Research & Development
## 335 335 59 No Non-Travel 1420 Human Resources
## 336 336 33 Yes Travel_Frequently 827 Research & Development
## 337 337 35 No Travel_Frequently 1182 Sales
## 338 338 34 No Travel_Frequently 618 Research & Development
## 339 339 50 Yes Travel_Frequently 959 Sales
## 340 340 27 No Travel_Rarely 1240 Research & Development
## 341 341 36 No Travel_Rarely 852 Research & Development
## 342 342 28 No Travel_Frequently 193 Research & Development
## 343 343 33 No Travel_Rarely 654 Research & Development
## 344 344 30 No Travel_Frequently 160 Research & Development
## 345 345 30 No Travel_Rarely 1329 Sales
## 346 346 39 No Travel_Rarely 119 Sales
## 347 347 34 No Travel_Frequently 1003 Research & Development
## 348 348 26 No Travel_Frequently 1479 Research & Development
## 349 349 44 No Non-Travel 111 Research & Development
## 350 350 56 No Travel_Rarely 832 Research & Development
## 351 351 42 No Travel_Rarely 1396 Research & Development
## 352 352 31 No Travel_Rarely 218 Sales
## 353 353 40 No Travel_Frequently 902 Research & Development
## 354 354 40 No Non-Travel 1142 Research & Development
## 355 355 41 No Travel_Rarely 796 Sales
## 356 356 34 No Travel_Rarely 1326 Sales
## 357 357 26 No Travel_Rarely 841 Research & Development
## 358 358 29 Yes Travel_Rarely 408 Research & Development
## 359 359 32 No Travel_Rarely 427 Research & Development
## 360 360 36 No Travel_Rarely 1403 Research & Development
## 361 361 52 No Travel_Rarely 699 Research & Development
## 362 362 29 Yes Travel_Frequently 746 Sales
## 363 363 52 Yes Travel_Rarely 266 Sales
## 364 364 40 No Travel_Rarely 1416 Research & Development
## 365 365 55 No Travel_Rarely 282 Research & Development
## 366 366 56 No Travel_Frequently 906 Sales
## 367 367 34 No Travel_Frequently 135 Research & Development
## 368 368 40 No Travel_Rarely 1342 Sales
## 369 369 23 No Travel_Rarely 977 Research & Development
## 370 370 32 No Travel_Rarely 1018 Research & Development
## 371 371 31 No Travel_Frequently 853 Research & Development
## 372 372 30 No Non-Travel 1398 Sales
## 373 373 45 No Travel_Frequently 1249 Research & Development
## 374 374 37 No Travel_Rarely 1470 Research & Development
## 375 375 20 No Travel_Rarely 727 Sales
## 376 376 50 No Travel_Frequently 333 Research & Development
## 377 377 36 Yes Travel_Rarely 885 Research & Development
## 378 378 42 No Travel_Rarely 419 Sales
## 379 379 29 No Travel_Rarely 942 Research & Development
## 380 380 30 Yes Travel_Rarely 138 Research & Development
## 381 381 47 No Travel_Rarely 1482 Research & Development
## 382 382 26 No Travel_Rarely 1355 Human Resources
## 383 383 48 No Travel_Rarely 1221 Sales
## 384 384 23 No Travel_Rarely 541 Sales
## 385 385 51 Yes Travel_Rarely 1323 Research & Development
## 386 386 38 No Travel_Rarely 1333 Research & Development
## 387 387 35 No Travel_Frequently 944 Sales
## 388 388 29 No Travel_Rarely 232 Research & Development
## 389 389 36 No Travel_Rarely 530 Sales
## 390 390 21 Yes Travel_Frequently 756 Sales
## 391 391 34 No Travel_Rarely 1111 Sales
## 392 392 26 No Travel_Rarely 1443 Sales
## 393 393 31 No Non-Travel 976 Research & Development
## 394 394 60 No Travel_Frequently 1499 Sales
## 395 395 42 No Travel_Frequently 1271 Research & Development
## 396 396 31 No Travel_Rarely 192 Research & Development
## 397 397 46 No Travel_Rarely 1009 Research & Development
## 398 398 34 Yes Travel_Rarely 1107 Human Resources
## 399 399 56 No Non-Travel 667 Research & Development
## 400 400 44 No Travel_Frequently 1193 Research & Development
## 401 401 30 No Travel_Rarely 317 Research & Development
## 402 402 42 No Non-Travel 926 Research & Development
## 403 403 47 No Travel_Rarely 207 Research & Development
## 404 404 36 No Travel_Rarely 711 Research & Development
## 405 405 35 No Travel_Rarely 1343 Research & Development
## 406 406 43 No Travel_Rarely 782 Research & Development
## 407 407 31 No Travel_Rarely 196 Sales
## 408 408 36 No Travel_Rarely 917 Research & Development
## 409 409 53 No Travel_Rarely 1219 Sales
## 410 410 43 No Travel_Rarely 589 Research & Development
## 411 411 36 No Travel_Rarely 1278 Human Resources
## 412 412 41 No Travel_Rarely 918 Sales
## 413 413 37 No Travel_Rarely 408 Research & Development
## 414 414 32 No Travel_Frequently 1318 Sales
## 415 415 34 Yes Travel_Frequently 296 Sales
## 416 416 35 No Non-Travel 1180 Research & Development
## 417 417 30 No Non-Travel 1116 Research & Development
## 418 418 36 No Travel_Frequently 566 Research & Development
## 419 419 37 No Travel_Rarely 977 Research & Development
## 420 420 29 No Travel_Rarely 986 Research & Development
## 421 421 34 No Travel_Rarely 1153 Research & Development
## 422 422 37 No Non-Travel 1063 Research & Development
## 423 423 31 Yes Travel_Rarely 249 Sales
## 424 424 18 No Non-Travel 1124 Research & Development
## 425 425 28 No Travel_Rarely 736 Sales
## 426 426 43 No Travel_Rarely 415 Sales
## 427 427 30 No Non-Travel 990 Research & Development
## 428 428 21 No Travel_Rarely 996 Research & Development
## 429 429 32 Yes Travel_Rarely 515 Research & Development
## 430 430 34 No Travel_Rarely 470 Research & Development
## 431 431 27 No Travel_Rarely 1377 Sales
## 432 432 40 No Non-Travel 458 Research & Development
## 433 433 49 Yes Travel_Frequently 1475 Research & Development
## 434 434 29 No Travel_Rarely 590 Research & Development
## 435 435 40 No Travel_Rarely 658 Sales
## 436 436 27 No Travel_Rarely 1130 Sales
## 437 437 28 Yes Travel_Rarely 890 Research & Development
## 438 438 26 No Travel_Rarely 157 Research & Development
## 439 439 50 Yes Travel_Rarely 869 Sales
## 440 440 38 No Travel_Rarely 827 Research & Development
## 441 441 32 No Travel_Frequently 1316 Research & Development
## 442 442 29 No Travel_Rarely 1082 Research & Development
## 443 443 28 Yes Travel_Rarely 529 Research & Development
## 444 444 44 No Travel_Rarely 528 Human Resources
## 445 445 46 No Travel_Rarely 734 Research & Development
## 446 446 47 No Travel_Rarely 465 Research & Development
## 447 447 38 No Travel_Frequently 1189 Research & Development
## 448 448 42 No Travel_Rarely 1128 Research & Development
## 449 449 38 No Travel_Frequently 653 Research & Development
## 450 450 45 No Non-Travel 336 Sales
## 451 451 33 No Travel_Rarely 501 Research & Development
## 452 452 44 No Travel_Rarely 1467 Research & Development
## 453 453 35 Yes Travel_Rarely 303 Sales
## 454 454 33 No Travel_Rarely 217 Sales
## 455 455 48 No Travel_Rarely 1236 Research & Development
## 456 456 40 No Travel_Rarely 611 Sales
## 457 457 31 No Travel_Rarely 1112 Sales
## 458 458 51 No Travel_Rarely 632 Sales
## 459 459 56 No Travel_Rarely 1255 Research & Development
## 460 460 36 No Travel_Rarely 172 Research & Development
## 461 461 42 No Travel_Frequently 1474 Research & Development
## 462 462 36 No Travel_Rarely 311 Research & Development
## 463 463 50 No Travel_Frequently 809 Sales
## 464 464 31 No Travel_Frequently 163 Research & Development
## 465 465 43 Yes Travel_Frequently 807 Research & Development
## 466 466 38 No Travel_Rarely 371 Research & Development
## 467 467 36 No Travel_Rarely 1157 Sales
## 468 468 36 No Travel_Rarely 132 Research & Development
## 469 469 26 Yes Non-Travel 265 Sales
## 470 470 53 No Travel_Rarely 1084 Research & Development
## 471 471 27 No Travel_Rarely 1354 Research & Development
## 472 472 29 Yes Travel_Frequently 459 Research & Development
## 473 473 45 No Travel_Rarely 193 Research & Development
## 474 474 45 No Travel_Rarely 1316 Research & Development
## 475 475 28 No Travel_Rarely 895 Research & Development
## 476 476 46 No Travel_Frequently 1211 Sales
## 477 477 37 No Travel_Rarely 342 Sales
## 478 478 26 No Travel_Rarely 775 Sales
## 479 479 52 No Travel_Rarely 258 Research & Development
## 480 480 37 No Travel_Rarely 161 Research & Development
## 481 481 29 No Travel_Rarely 136 Research & Development
## 482 482 31 No Travel_Rarely 1222 Research & Development
## 483 483 34 No Travel_Frequently 735 Research & Development
## 484 484 56 No Travel_Rarely 713 Research & Development
## 485 485 58 Yes Travel_Rarely 147 Research & Development
## 486 486 41 Yes Travel_Rarely 1102 Sales
## 487 487 30 Yes Travel_Rarely 945 Sales
## 488 488 31 No Travel_Rarely 670 Research & Development
## 489 489 48 Yes Travel_Rarely 626 Research & Development
## 490 490 34 No Travel_Rarely 970 Research & Development
## 491 491 49 No Travel_Frequently 636 Research & Development
## 492 492 50 No Travel_Rarely 1322 Research & Development
## 493 493 29 No Travel_Rarely 469 Sales
## 494 494 35 No Travel_Rarely 1029 Research & Development
## 495 495 36 No Travel_Rarely 1266 Sales
## 496 496 51 No Travel_Rarely 1318 Sales
## 497 497 45 No Travel_Rarely 192 Research & Development
## 498 498 37 No Travel_Frequently 889 Research & Development
## 499 499 36 No Travel_Rarely 1299 Research & Development
## 500 500 39 No Non-Travel 1251 Sales
## 501 501 58 Yes Travel_Rarely 601 Research & Development
## 502 502 28 Yes Travel_Rarely 103 Research & Development
## 503 503 48 Yes Travel_Frequently 708 Sales
## 504 504 29 No Travel_Rarely 1389 Research & Development
## 505 505 47 No Travel_Rarely 359 Research & Development
## 506 506 32 No Travel_Rarely 824 Research & Development
## 507 507 33 Yes Travel_Rarely 350 Sales
## 508 508 51 No Travel_Frequently 541 Sales
## 509 509 37 No Travel_Frequently 319 Sales
## 510 510 41 Yes Travel_Rarely 1360 Research & Development
## 511 511 38 No Travel_Rarely 345 Sales
## 512 512 39 No Non-Travel 1485 Research & Development
## 513 513 32 No Travel_Frequently 585 Research & Development
## 514 514 33 No Travel_Frequently 515 Research & Development
## 515 515 21 No Non-Travel 895 Sales
## 516 516 51 No Travel_Rarely 1302 Research & Development
## 517 517 25 Yes Travel_Rarely 867 Sales
## 518 518 42 No Travel_Rarely 855 Research & Development
## 519 519 30 No Travel_Rarely 1138 Research & Development
## 520 520 56 Yes Travel_Rarely 1162 Research & Development
## 521 521 34 No Travel_Frequently 702 Research & Development
## 522 522 28 Yes Travel_Rarely 329 Research & Development
## 523 523 45 No Travel_Rarely 1339 Research & Development
## 524 524 49 No Travel_Rarely 1245 Research & Development
## 525 525 59 No Travel_Rarely 142 Research & Development
## 526 526 53 No Travel_Frequently 124 Sales
## 527 527 45 No Travel_Rarely 1268 Sales
## 528 528 31 No Travel_Rarely 1332 Research & Development
## 529 529 35 No Travel_Rarely 1214 Research & Development
## 530 530 56 Yes Travel_Rarely 441 Research & Development
## 531 531 38 No Travel_Rarely 330 Research & Development
## 532 532 36 No Travel_Rarely 884 Sales
## 533 533 29 No Travel_Rarely 1252 Research & Development
## 534 534 32 No Non-Travel 1146 Research & Development
## 535 535 29 Yes Travel_Rarely 318 Research & Development
## 536 536 43 No Non-Travel 1344 Research & Development
## 537 537 38 No Travel_Rarely 130 Sales
## 538 538 42 No Travel_Rarely 544 Human Resources
## 539 539 24 Yes Travel_Rarely 1448 Sales
## 540 540 42 No Travel_Rarely 647 Sales
## 541 541 30 No Travel_Rarely 853 Research & Development
## 542 542 33 No Travel_Rarely 867 Research & Development
## 543 543 27 No Non-Travel 1450 Research & Development
## 544 544 38 No Travel_Rarely 1261 Research & Development
## 545 545 34 No Travel_Rarely 121 Research & Development
## 546 546 34 No Travel_Rarely 678 Research & Development
## 547 547 49 No Travel_Rarely 527 Research & Development
## 548 548 40 No Travel_Frequently 720 Research & Development
## 549 549 38 No Travel_Rarely 849 Research & Development
## 550 550 45 No Travel_Rarely 788 Human Resources
## 551 551 41 No Travel_Rarely 314 Human Resources
## 552 552 28 No Travel_Rarely 1169 Human Resources
## 553 553 36 No Travel_Frequently 1213 Human Resources
## 554 554 48 No Travel_Rarely 1469 Research & Development
## 555 555 40 No Non-Travel 1151 Research & Development
## 556 556 37 No Travel_Rarely 558 Sales
## 557 557 54 No Travel_Rarely 548 Research & Development
## 558 558 34 No Travel_Rarely 254 Research & Development
## 559 559 42 No Travel_Rarely 933 Research & Development
## 560 560 26 No Travel_Rarely 933 Sales
## 561 561 36 No Travel_Frequently 1480 Research & Development
## 562 562 58 No Travel_Frequently 1216 Research & Development
## 563 563 27 No Travel_Rarely 1134 Research & Development
## 564 564 31 No Non-Travel 697 Research & Development
## 565 565 30 No Travel_Rarely 921 Research & Development
## 566 566 44 No Travel_Rarely 1037 Research & Development
## 567 567 32 No Travel_Rarely 128 Research & Development
## 568 568 30 Yes Travel_Rarely 740 Sales
## 569 569 42 No Travel_Rarely 462 Sales
## 570 570 50 No Travel_Rarely 939 Research & Development
## 571 571 41 No Travel_Rarely 337 Sales
## 572 572 21 Yes Travel_Rarely 1427 Research & Development
## 573 573 28 No Travel_Frequently 783 Sales
## 574 574 34 No Travel_Rarely 810 Sales
## 575 575 26 No Travel_Rarely 703 Sales
## 576 576 37 No Travel_Rarely 1115 Research & Development
## 577 577 38 No Travel_Rarely 1404 Sales
## 578 578 44 No Non-Travel 981 Research & Development
## 579 579 39 No Travel_Frequently 711 Research & Development
## 580 580 29 No Travel_Rarely 1329 Research & Development
## 581 581 25 No Travel_Rarely 882 Research & Development
## 582 582 42 No Travel_Rarely 810 Research & Development
## 583 583 38 No Travel_Rarely 833 Research & Development
## 584 584 28 No Travel_Rarely 760 Sales
## 585 585 44 No Travel_Rarely 1459 Research & Development
## 586 586 40 No Travel_Rarely 905 Research & Development
## 587 587 38 No Non-Travel 573 Research & Development
## 588 588 36 Yes Travel_Rarely 1218 Sales
## 589 589 37 No Travel_Rarely 1462 Research & Development
## 590 590 35 No Travel_Rarely 1142 Research & Development
## 591 591 22 No Non-Travel 457 Research & Development
## 592 592 34 Yes Travel_Rarely 790 Sales
## 593 593 28 Yes Travel_Frequently 1496 Sales
## 594 594 49 No Travel_Rarely 722 Research & Development
## 595 595 40 No Travel_Rarely 884 Research & Development
## 596 596 33 No Travel_Rarely 586 Sales
## 597 597 35 No Travel_Rarely 672 Research & Development
## 598 598 40 No Travel_Rarely 555 Research & Development
## 599 599 27 No Travel_Rarely 155 Research & Development
## 600 600 24 Yes Travel_Rarely 813 Research & Development
## 601 601 24 No Non-Travel 830 Sales
## 602 602 32 No Non-Travel 1200 Research & Development
## 603 603 30 No Travel_Rarely 153 Research & Development
## 604 604 29 No Travel_Rarely 1401 Research & Development
## 605 605 29 Yes Travel_Rarely 428 Sales
## 606 606 53 No Travel_Rarely 970 Research & Development
## 607 607 59 No Travel_Frequently 1225 Sales
## 608 608 38 No Travel_Rarely 322 Sales
## 609 609 26 No Travel_Rarely 652 Research & Development
## 610 610 33 No Non-Travel 1038 Sales
## 611 611 35 No Travel_Rarely 817 Research & Development
## 612 612 41 No Non-Travel 509 Research & Development
## 613 613 33 Yes Travel_Rarely 465 Research & Development
## 614 614 19 Yes Travel_Rarely 419 Sales
## 615 615 30 No Travel_Rarely 231 Sales
## 616 616 34 No Travel_Rarely 1157 Research & Development
## 617 617 33 No Travel_Rarely 1099 Research & Development
## 618 618 44 No Travel_Rarely 1488 Sales
## 619 619 39 No Travel_Rarely 613 Research & Development
## 620 620 35 No Non-Travel 727 Research & Development
## 621 621 20 Yes Travel_Frequently 871 Research & Development
## 622 622 47 No Travel_Frequently 1379 Research & Development
## 623 623 34 No Travel_Rarely 182 Research & Development
## 624 624 35 No Travel_Rarely 1146 Human Resources
## 625 625 28 Yes Travel_Frequently 289 Research & Development
## 626 626 27 No Travel_Rarely 1167 Research & Development
## 627 627 24 No Travel_Rarely 1476 Sales
## 628 628 38 No Travel_Rarely 343 Research & Development
## 629 629 55 No Travel_Frequently 1091 Research & Development
## 630 630 34 No Travel_Rarely 1442 Research & Development
## 631 631 55 No Travel_Rarely 836 Research & Development
## 632 632 34 No Travel_Rarely 937 Sales
## 633 633 38 No Travel_Rarely 1035 Sales
## 634 634 36 No Travel_Rarely 922 Research & Development
## 635 635 43 No Travel_Rarely 1001 Research & Development
## 636 636 35 No Travel_Frequently 636 Research & Development
## 637 637 42 No Travel_Rarely 469 Research & Development
## 638 638 34 No Travel_Rarely 1239 Sales
## 639 639 24 No Travel_Rarely 691 Research & Development
## 640 640 27 Yes Travel_Rarely 1420 Sales
## 641 641 30 No Travel_Rarely 1358 Research & Development
## 642 642 40 No Travel_Rarely 750 Research & Development
## 643 643 55 No Non-Travel 444 Research & Development
## 644 644 34 Yes Non-Travel 967 Research & Development
## 645 645 41 Yes Non-Travel 906 Research & Development
## 646 646 40 No Travel_Rarely 630 Sales
## 647 647 18 Yes Non-Travel 247 Research & Development
## 648 648 26 No Travel_Rarely 390 Research & Development
## 649 649 35 No Travel_Rarely 776 Sales
## 650 650 40 Yes Travel_Rarely 1329 Research & Development
## 651 651 35 No Travel_Rarely 992 Research & Development
## 652 652 60 No Travel_Rarely 696 Sales
## 653 653 40 No Travel_Frequently 593 Research & Development
## 654 654 48 No Travel_Rarely 530 Sales
## 655 655 22 Yes Travel_Frequently 1368 Research & Development
## 656 656 26 No Travel_Frequently 496 Research & Development
## 657 657 51 No Travel_Rarely 1469 Research & Development
## 658 658 54 No Travel_Frequently 1050 Research & Development
## 659 659 41 No Travel_Rarely 483 Research & Development
## 660 660 36 No Travel_Frequently 1195 Research & Development
## 661 661 32 No Travel_Frequently 430 Research & Development
## 662 662 34 No Travel_Rarely 1303 Research & Development
## 663 663 46 No Travel_Rarely 1277 Sales
## 664 664 35 No Travel_Rarely 802 Research & Development
## 665 665 34 No Non-Travel 1065 Sales
## 666 666 29 No Travel_Frequently 461 Research & Development
## 667 667 29 No Travel_Frequently 1413 Sales
## 668 668 33 Yes Travel_Rarely 587 Research & Development
## 669 669 32 Yes Travel_Rarely 1089 Research & Development
## 670 670 54 No Travel_Rarely 685 Research & Development
## 671 671 37 No Travel_Rarely 397 Research & Development
## 672 672 33 No Travel_Rarely 392 Sales
## 673 673 28 No Travel_Frequently 467 Sales
## 674 674 35 Yes Travel_Frequently 130 Research & Development
## 675 675 27 No Travel_Rarely 486 Research & Development
## 676 676 46 No Travel_Rarely 168 Sales
## 677 677 36 No Travel_Rarely 676 Research & Development
## 678 678 40 No Travel_Frequently 692 Research & Development
## 679 679 36 No Travel_Frequently 688 Research & Development
## 680 680 31 No Travel_Rarely 154 Sales
## 681 681 25 No Travel_Rarely 583 Sales
## 682 682 43 No Travel_Frequently 313 Research & Development
## 683 683 36 No Travel_Rarely 1351 Research & Development
## 684 684 57 No Travel_Rarely 334 Research & Development
## 685 685 28 No Travel_Rarely 440 Research & Development
## 686 686 31 No Travel_Rarely 1274 Research & Development
## 687 687 29 Yes Travel_Frequently 337 Research & Development
## 688 688 33 No Travel_Rarely 147 Research & Development
## 689 689 19 Yes Travel_Rarely 303 Research & Development
## 690 690 38 No Non-Travel 1336 Human Resources
## 691 691 38 No Travel_Frequently 888 Human Resources
## 692 692 47 Yes Non-Travel 666 Research & Development
## 693 693 42 No Travel_Rarely 1332 Research & Development
## 694 694 30 Yes Travel_Frequently 464 Research & Development
## 695 695 37 No Travel_Frequently 1278 Sales
## 696 696 47 No Travel_Rarely 1454 Sales
## 697 697 48 No Travel_Frequently 365 Research & Development
## 698 698 36 No Travel_Rarely 1396 Research & Development
## 699 699 18 Yes Travel_Frequently 544 Sales
## 700 700 46 No Travel_Rarely 1450 Research & Development
## 701 701 29 No Travel_Rarely 352 Human Resources
## 702 702 34 No Travel_Rarely 1400 Sales
## 703 703 35 No Non-Travel 1212 Sales
## 704 704 26 Yes Travel_Rarely 920 Human Resources
## 705 705 59 No Travel_Rarely 818 Human Resources
## 706 706 41 No Non-Travel 267 Sales
## 707 707 54 No Travel_Rarely 431 Research & Development
## 708 708 31 No Travel_Rarely 1398 Human Resources
## 709 709 38 No Travel_Rarely 1153 Research & Development
## 710 710 50 No Non-Travel 881 Research & Development
## 711 711 30 No Travel_Rarely 634 Research & Development
## 712 712 57 No Travel_Rarely 210 Sales
## 713 713 48 No Travel_Rarely 969 Research & Development
## 714 714 36 No Travel_Frequently 541 Sales
## 715 715 36 No Non-Travel 1434 Sales
## 716 716 24 Yes Travel_Rarely 240 Human Resources
## 717 717 30 No Travel_Rarely 852 Sales
## 718 718 28 No Travel_Rarely 857 Research & Development
## 719 719 35 Yes Travel_Frequently 880 Sales
## 720 720 28 No Travel_Rarely 950 Research & Development
## 721 721 37 No Travel_Rarely 482 Research & Development
## 722 722 37 No Travel_Rarely 671 Research & Development
## 723 723 34 No Travel_Frequently 560 Research & Development
## 724 724 36 No Travel_Rarely 796 Research & Development
## 725 725 42 No Travel_Rarely 1142 Research & Development
## 726 726 25 No Travel_Rarely 685 Research & Development
## 727 727 37 No Travel_Frequently 1231 Sales
## 728 728 34 No Travel_Frequently 878 Research & Development
## 729 729 26 Yes Travel_Rarely 471 Research & Development
## 730 730 22 No Travel_Rarely 594 Research & Development
## 731 731 43 No Travel_Rarely 177 Research & Development
## 732 732 39 Yes Travel_Rarely 1162 Sales
## 733 733 27 Yes Travel_Frequently 1337 Human Resources
## 734 734 32 Yes Non-Travel 1474 Sales
## 735 735 34 No Travel_Rarely 479 Research & Development
## 736 736 27 No Travel_Rarely 511 Sales
## 737 737 39 No Travel_Rarely 722 Sales
## 738 738 59 No Travel_Rarely 326 Sales
## 739 739 35 No Travel_Rarely 1219 Sales
## 740 740 35 No Travel_Rarely 538 Research & Development
## 741 741 25 No Travel_Rarely 959 Sales
## 742 742 31 No Travel_Rarely 688 Sales
## 743 743 37 No Travel_Rarely 674 Research & Development
## 744 744 23 No Travel_Rarely 160 Research & Development
## 745 745 25 No Travel_Rarely 1382 Sales
## 746 746 24 No Travel_Rarely 350 Research & Development
## 747 747 29 Yes Travel_Rarely 350 Human Resources
## 748 748 34 No Travel_Frequently 669 Research & Development
## 749 749 24 No Travel_Rarely 506 Research & Development
## 750 750 33 No Travel_Rarely 134 Research & Development
## 751 751 20 Yes Travel_Frequently 769 Sales
## 752 752 31 Yes Travel_Frequently 1060 Sales
## 753 753 50 No Travel_Frequently 1234 Research & Development
## 754 754 46 Yes Travel_Rarely 1254 Sales
## 755 755 54 No Travel_Rarely 1217 Research & Development
## 756 756 44 No Non-Travel 381 Research & Development
## 757 757 35 No Travel_Rarely 1137 Research & Development
## 758 758 49 No Travel_Rarely 1495 Research & Development
## 759 759 38 No Travel_Rarely 1495 Research & Development
## 760 760 45 Yes Travel_Rarely 1449 Sales
## 761 761 29 Yes Travel_Rarely 906 Research & Development
## 762 762 47 No Travel_Rarely 202 Research & Development
## 763 763 41 No Non-Travel 256 Sales
## 764 764 50 No Non-Travel 145 Sales
## 765 765 34 No Travel_Rarely 829 Human Resources
## 766 766 45 No Travel_Rarely 1015 Research & Development
## 767 767 41 No Travel_Rarely 509 Research & Development
## 768 768 40 No Non-Travel 1094 Sales
## 769 769 46 No Travel_Rarely 150 Research & Development
## 770 770 45 No Non-Travel 1050 Sales
## 771 771 33 No Travel_Frequently 508 Sales
## 772 772 46 No Travel_Rarely 526 Sales
## 773 773 39 No Travel_Frequently 505 Research & Development
## 774 774 36 Yes Travel_Rarely 318 Research & Development
## 775 775 42 No Travel_Frequently 288 Research & Development
## 776 776 23 No Travel_Rarely 310 Research & Development
## 777 777 30 No Travel_Rarely 330 Human Resources
## 778 778 32 No Non-Travel 862 Sales
## 779 779 26 No Non-Travel 786 Research & Development
## 780 780 29 Yes Travel_Rarely 1092 Research & Development
## 781 781 41 Yes Travel_Rarely 1356 Sales
## 782 782 39 No Travel_Rarely 408 Research & Development
## 783 783 33 No Travel_Rarely 1075 Human Resources
## 784 784 33 No Travel_Frequently 1146 Sales
## 785 785 47 No Non-Travel 543 Sales
## 786 786 31 No Travel_Rarely 182 Research & Development
## 787 787 51 No Travel_Rarely 942 Research & Development
## 788 788 52 Yes Travel_Rarely 723 Research & Development
## 789 789 55 No Travel_Rarely 478 Research & Development
## 790 790 25 No Travel_Rarely 266 Research & Development
## 791 791 49 No Travel_Rarely 271 Research & Development
## 792 792 34 No Travel_Rarely 629 Research & Development
## 793 793 38 No Travel_Rarely 397 Research & Development
## 794 794 36 No Travel_Rarely 1223 Research & Development
## 795 795 49 No Non-Travel 1002 Research & Development
## 796 796 33 Yes Travel_Frequently 1076 Research & Development
## 797 797 45 No Travel_Rarely 1385 Research & Development
## 798 798 22 Yes Travel_Rarely 1294 Research & Development
## 799 799 19 Yes Non-Travel 504 Research & Development
## 800 800 36 No Travel_Rarely 1040 Research & Development
## 801 801 33 No Travel_Frequently 1141 Sales
## 802 802 31 No Travel_Rarely 828 Sales
## 803 803 39 No Travel_Rarely 117 Research & Development
## 804 804 35 Yes Travel_Rarely 1204 Sales
## 805 805 44 No Non-Travel 489 Research & Development
## 806 806 36 No Travel_Rarely 1383 Research & Development
## 807 807 25 No Travel_Rarely 1372 Sales
## 808 808 22 No Travel_Rarely 1256 Research & Development
## 809 809 30 No Travel_Rarely 793 Research & Development
## 810 810 27 No Travel_Rarely 1157 Research & Development
## 811 811 30 No Non-Travel 111 Research & Development
## 812 812 25 No Travel_Rarely 949 Research & Development
## 813 813 24 No Travel_Rarely 1371 Sales
## 814 814 47 No Travel_Rarely 1176 Human Resources
## 815 815 38 No Travel_Rarely 395 Sales
## 816 816 33 No Travel_Rarely 117 Research & Development
## 817 817 30 No Travel_Rarely 946 Research & Development
## 818 818 33 No Travel_Rarely 213 Research & Development
## 819 819 30 No Travel_Rarely 1427 Research & Development
## 820 820 28 Yes Travel_Rarely 1475 Sales
## 821 821 32 No Travel_Rarely 634 Research & Development
## 822 822 29 No Travel_Rarely 1247 Sales
## 823 823 34 No Travel_Rarely 704 Sales
## 824 824 31 Yes Travel_Frequently 874 Research & Development
## 825 825 36 No Travel_Rarely 559 Research & Development
## 826 826 46 No Travel_Rarely 430 Research & Development
## 827 827 31 Yes Travel_Rarely 1079 Sales
## 828 828 34 No Travel_Rarely 131 Sales
## 829 829 38 No Travel_Frequently 594 Research & Development
## 830 830 50 No Travel_Frequently 1246 Human Resources
## 831 831 45 No Non-Travel 248 Research & Development
## 832 832 19 Yes Travel_Rarely 528 Sales
## 833 833 28 No Travel_Rarely 1179 Research & Development
## 834 834 19 No Travel_Rarely 645 Research & Development
## 835 835 55 No Non-Travel 177 Research & Development
## 836 836 37 No Non-Travel 142 Sales
## 837 837 37 No Travel_Rarely 1439 Research & Development
## 838 838 34 No Travel_Rarely 258 Sales
## 839 839 47 No Travel_Rarely 1001 Research & Development
## 840 840 48 No Travel_Rarely 1224 Research & Development
## 841 841 18 Yes Travel_Rarely 230 Research & Development
## 842 842 29 No Travel_Rarely 332 Human Resources
## 843 843 52 No Travel_Frequently 890 Research & Development
## 844 844 34 No Travel_Rarely 943 Research & Development
## 845 845 34 No Travel_Rarely 511 Sales
## 846 846 28 No Travel_Rarely 1300 Research & Development
## 847 847 19 No Travel_Rarely 1181 Research & Development
## 848 848 39 No Travel_Rarely 1132 Research & Development
## 849 849 40 Yes Travel_Rarely 575 Sales
## 850 850 26 No Travel_Frequently 1096 Research & Development
## 851 851 31 Yes Travel_Rarely 542 Sales
## 852 852 30 No Travel_Rarely 125 Research & Development
## 853 853 29 No Travel_Rarely 153 Research & Development
## 854 854 28 No Travel_Rarely 1476 Research & Development
## 855 855 35 No Travel_Rarely 219 Research & Development
## 856 856 35 No Travel_Rarely 660 Sales
## 857 857 30 Yes Travel_Rarely 1005 Research & Development
## 858 858 31 No Travel_Frequently 798 Research & Development
## 859 859 41 No Travel_Rarely 933 Research & Development
## 860 860 44 Yes Travel_Rarely 621 Research & Development
## 861 861 51 No Travel_Frequently 968 Research & Development
## 862 862 43 No Travel_Rarely 531 Sales
## 863 863 34 Yes Non-Travel 1362 Sales
## 864 864 47 No Travel_Frequently 217 Sales
## 865 865 45 No Travel_Rarely 1448 Research & Development
## 866 866 48 No Travel_Rarely 855 Research & Development
## 867 867 32 No Non-Travel 976 Sales
## 868 868 47 No Travel_Rarely 571 Sales
## 869 869 45 No Travel_Rarely 1457 Research & Development
## 870 870 35 No Travel_Frequently 138 Research & Development
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## 1 13 4 Life Sciences 1 859
## 2 14 3 Medical 1 1128
## 3 18 2 Life Sciences 1 1412
## 4 1 4 Marketing 1 2016
## 5 2 1 Technical Degree 1 1646
## 6 10 2 Life Sciences 1 733
## 7 5 5 Medical 1 1448
## 8 10 4 Life Sciences 1 1105
## 9 10 4 Life Sciences 1 1055
## 10 10 4 Technical Degree 1 1597
## 11 6 3 Medical 1 1866
## 12 1 2 Life Sciences 1 1858
## 13 7 3 Other 1 845
## 14 2 1 Technical Degree 1 508
## 15 1 2 Life Sciences 1 1314
## 16 20 2 Marketing 1 947
## 17 3 4 Medical 1 966
## 18 7 4 Medical 1 487
## 19 2 4 Medical 1 1755
## 20 1 4 Life Sciences 1 1903
## 21 9 2 Medical 1 699
## 22 2 1 Marketing 1 712
## 23 9 5 Medical 1 663
## 24 2 4 Other 1 1613
## 25 1 3 Life Sciences 1 969
## 26 5 3 Marketing 1 1267
## 27 14 3 Life Sciences 1 1582
## 28 9 4 Marketing 1 1157
## 29 24 4 Life Sciences 1 1968
## 30 19 4 Medical 1 791
## 31 9 2 Medical 1 195
## 32 21 3 Medical 1 1698
## 33 2 3 Technical Degree 1 363
## 34 1 4 Medical 1 1172
## 35 5 4 Life Sciences 1 1966
## 36 7 3 Life Sciences 1 359
## 37 10 3 Medical 1 1639
## 38 13 5 Marketing 1 1733
## 39 8 4 Life Sciences 1 1338
## 40 20 3 Life Sciences 1 1135
## 41 2 3 Medical 1 1824
## 42 2 2 Technical Degree 1 783
## 43 16 3 Medical 1 1674
## 44 9 2 Other 1 1595
## 45 1 2 Life Sciences 1 1270
## 46 9 2 Medical 1 1480
## 47 1 2 Life Sciences 1 1734
## 48 10 4 Marketing 1 1119
## 49 5 3 Marketing 1 614
## 50 9 3 Medical 1 218
## 51 1 1 Life Sciences 1 662
## 52 1 3 Medical 1 1423
## 53 2 1 Life Sciences 1 1246
## 54 4 2 Life Sciences 1 972
## 55 8 4 Life Sciences 1 98
## 56 9 4 Life Sciences 1 1772
## 57 19 3 Medical 1 752
## 58 3 1 Medical 1 1586
## 59 1 4 Medical 1 380
## 60 24 1 Life Sciences 1 1273
## 61 3 1 Life Sciences 1 967
## 62 10 4 Technical Degree 1 1312
## 63 2 2 Life Sciences 1 1996
## 64 14 3 Medical 1 1839
## 65 17 2 Life Sciences 1 1219
## 66 5 2 Life Sciences 1 21
## 67 6 4 Life Sciences 1 691
## 68 12 2 Other 1 1982
## 69 1 3 Medical 1 88
## 70 1 3 Life Sciences 1 391
## 71 1 3 Life Sciences 1 1999
## 72 5 3 Medical 1 1469
## 73 23 2 Life Sciences 1 261
## 74 12 4 Life Sciences 1 1158
## 75 5 3 Life Sciences 1 1319
## 76 1 2 Medical 1 57
## 77 1 3 Technical Degree 1 1535
## 78 1 4 Life Sciences 1 1602
## 79 6 3 Medical 1 302
## 80 2 1 Medical 1 1974
## 81 11 2 Medical 1 1033
## 82 27 4 Life Sciences 1 1728
## 83 6 4 Life Sciences 1 1997
## 84 6 3 Medical 1 474
## 85 2 4 Life Sciences 1 1294
## 86 2 3 Life Sciences 1 1032
## 87 14 4 Marketing 1 728
## 88 14 4 Other 1 1010
## 89 8 3 Life Sciences 1 56
## 90 2 4 Marketing 1 38
## 91 2 2 Life Sciences 1 556
## 92 23 1 Life Sciences 1 1165
## 93 2 2 Other 1 4
## 94 10 4 Medical 1 1587
## 95 11 3 Life Sciences 1 226
## 96 1 1 Life Sciences 1 387
## 97 3 3 Life Sciences 1 1527
## 98 2 2 Life Sciences 1 139
## 99 2 1 Life Sciences 1 1513
## 100 1 3 Life Sciences 1 1447
## 101 11 1 Life Sciences 1 1434
## 102 8 2 Life Sciences 1 1453
## 103 4 4 Marketing 1 523
## 104 4 3 Medical 1 705
## 105 2 3 Medical 1 1472
## 106 3 4 Medical 1 1177
## 107 1 1 Technical Degree 1 208
## 108 26 4 Human Resources 1 1973
## 109 21 2 Medical 1 1821
## 110 2 3 Technical Degree 1 2038
## 111 6 3 Life Sciences 1 1154
## 112 1 2 Life Sciences 1 976
## 113 7 4 Life Sciences 1 1118
## 114 2 4 Life Sciences 1 771
## 115 17 4 Life Sciences 1 1218
## 116 19 2 Medical 1 904
## 117 10 4 Life Sciences 1 1240
## 118 13 2 Other 1 2053
## 119 14 3 Life Sciences 1 227
## 120 2 4 Technical Degree 1 1383
## 121 8 3 Life Sciences 1 742
## 122 5 1 Medical 1 2021
## 123 9 3 Marketing 1 864
## 124 7 4 Marketing 1 709
## 125 2 2 Life Sciences 1 388
## 126 7 4 Life Sciences 1 1962
## 127 16 1 Life Sciences 1 33
## 128 25 2 Life Sciences 1 1888
## 129 6 3 Medical 1 1402
## 130 3 3 Technical Degree 1 1863
## 131 5 3 Medical 1 1669
## 132 11 4 Marketing 1 1757
## 133 28 4 Technical Degree 1 551
## 134 12 3 Medical 1 1654
## 135 10 4 Life Sciences 1 448
## 136 2 2 Medical 1 807
## 137 1 2 Life Sciences 1 816
## 138 17 3 Technical Degree 1 1013
## 139 6 3 Medical 1 932
## 140 3 3 Life Sciences 1 152
## 141 23 3 Life Sciences 1 1373
## 142 23 4 Life Sciences 1 1308
## 143 7 2 Medical 1 1007
## 144 6 4 Medical 1 378
## 145 2 1 Medical 1 1375
## 146 2 3 Life Sciences 1 469
## 147 14 3 Medical 1 252
## 148 8 4 Life Sciences 1 1560
## 149 24 3 Medical 1 1173
## 150 27 3 Medical 1 1622
## 151 13 4 Medical 1 650
## 152 10 3 Marketing 1 722
## 153 7 3 Life Sciences 1 420
## 154 5 3 Life Sciences 1 1814
## 155 10 3 Life Sciences 1 934
## 156 25 2 Technical Degree 1 475
## 157 2 2 Marketing 1 1986
## 158 2 3 Life Sciences 1 1127
## 159 27 3 Life Sciences 1 1126
## 160 26 5 Medical 1 1242
## 161 1 1 Life Sciences 1 104
## 162 24 2 Technical Degree 1 1082
## 163 8 4 Marketing 1 677
## 164 17 2 Life Sciences 1 347
## 165 16 3 Marketing 1 406
## 166 2 3 Medical 1 922
## 167 22 4 Other 1 1655
## 168 1 5 Medical 1 612
## 169 6 2 Technical Degree 1 630
## 170 28 4 Life Sciences 1 1120
## 171 27 5 Marketing 1 747
## 172 14 4 Technical Degree 1 1934
## 173 18 1 Medical 1 624
## 174 10 5 Marketing 1 1268
## 175 2 2 Medical 1 981
## 176 1 1 Technical Degree 1 1131
## 177 2 3 Medical 1 787
## 178 2 3 Life Sciences 1 1053
## 179 8 3 Marketing 1 207
## 180 1 4 Life Sciences 1 230
## 181 2 3 Life Sciences 1 1182
## 182 2 2 Life Sciences 1 1355
## 183 28 3 Medical 1 171
## 184 6 3 Life Sciences 1 1525
## 185 8 1 Life Sciences 1 602
## 186 9 3 Medical 1 377
## 187 2 1 Life Sciences 1 1653
## 188 2 4 Life Sciences 1 1676
## 189 4 1 Life Sciences 1 385
## 190 4 3 Medical 1 129
## 191 28 2 Medical 1 441
## 192 7 4 Marketing 1 1833
## 193 18 3 Medical 1 550
## 194 2 5 Marketing 1 595
## 195 2 1 Medical 1 1407
## 196 1 3 Life Sciences 1 353
## 197 9 4 Life Sciences 1 116
## 198 8 4 Technical Degree 1 1138
## 199 7 4 Medical 1 36
## 200 17 2 Other 1 643
## 201 24 3 Life Sciences 1 986
## 202 1 3 Life Sciences 1 96
## 203 4 3 Life Sciences 1 830
## 204 1 2 Life Sciences 1 741
## 205 4 2 Life Sciences 1 330
## 206 9 2 Life Sciences 1 913
## 207 9 3 Marketing 1 1188
## 208 29 1 Medical 1 282
## 209 5 3 Technical Degree 1 197
## 210 9 1 Life Sciences 1 176
## 211 28 4 Life Sciences 1 2034
## 212 5 2 Marketing 1 1029
## 213 10 2 Life Sciences 1 715
## 214 1 2 Life Sciences 1 827
## 215 3 4 Medical 1 700
## 216 2 3 Medical 1 1474
## 217 10 3 Medical 1 634
## 218 22 3 Medical 1 1900
## 219 18 3 Life Sciences 1 194
## 220 4 2 Life Sciences 1 1275
## 221 2 3 Other 1 786
## 222 26 4 Life Sciences 1 684
## 223 16 3 Life Sciences 1 1681
## 224 1 3 Life Sciences 1 1506
## 225 9 2 Life Sciences 1 1940
## 226 1 2 Medical 1 1989
## 227 4 2 Other 1 53
## 228 5 3 Life Sciences 1 284
## 229 3 2 Other 1 128
## 230 6 1 Life Sciences 1 1661
## 231 2 2 Other 1 1635
## 232 2 3 Marketing 1 49
## 233 9 3 Life Sciences 1 1716
## 234 3 3 Marketing 1 303
## 235 26 2 Life Sciences 1 158
## 236 1 4 Life Sciences 1 970
## 237 2 3 Life Sciences 1 2031
## 238 9 4 Life Sciences 1 679
## 239 2 3 Human Resources 1 1987
## 240 17 5 Life Sciences 1 1656
## 241 24 3 Medical 1 605
## 242 25 3 Medical 1 1306
## 243 2 3 Life Sciences 1 94
## 244 9 2 Life Sciences 1 1439
## 245 8 1 Medical 1 1150
## 246 7 1 Medical 1 912
## 247 7 4 Medical 1 462
## 248 1 4 Medical 1 2013
## 249 22 3 Life Sciences 1 1392
## 250 2 5 Life Sciences 1 625
## 251 1 2 Medical 1 1994
## 252 8 4 Technical Degree 1 990
## 253 2 3 Life Sciences 1 834
## 254 18 5 Human Resources 1 1842
## 255 8 1 Medical 1 1468
## 256 9 3 Life Sciences 1 1813
## 257 5 3 Marketing 1 399
## 258 7 4 Marketing 1 1428
## 259 4 3 Life Sciences 1 1882
## 260 2 1 Other 1 1992
## 261 2 3 Life Sciences 1 1379
## 262 1 4 Technical Degree 1 1522
## 263 14 3 Medical 1 325
## 264 20 3 Technical Degree 1 974
## 265 18 1 Life Sciences 1 150
## 266 16 3 Medical 1 14
## 267 15 3 Medical 1 1485
## 268 2 4 Life Sciences 1 1692
## 269 7 2 Life Sciences 1 1970
## 270 20 3 Other 1 1084
## 271 2 4 Life Sciences 1 1845
## 272 3 3 Life Sciences 1 1658
## 273 23 1 Medical 1 1864
## 274 16 4 Marketing 1 1436
## 275 14 4 Medical 1 254
## 276 4 4 Technical Degree 1 1191
## 277 11 3 Medical 1 511
## 278 10 4 Life Sciences 1 430
## 279 5 3 Marketing 1 142
## 280 4 4 Life Sciences 1 1501
## 281 2 3 Medical 1 1706
## 282 6 3 Medical 1 957
## 283 1 3 Life Sciences 1 1822
## 284 7 3 Marketing 1 438
## 285 1 3 Human Resources 1 1152
## 286 28 4 Life Sciences 1 1549
## 287 7 1 Life Sciences 1 1878
## 288 19 2 Medical 1 18
## 289 11 2 Technical Degree 1 154
## 290 8 4 Life Sciences 1 805
## 291 1 4 Medical 1 996
## 292 24 4 Life Sciences 1 419
## 293 9 3 Medical 1 260
## 294 1 1 Medical 1 2000
## 295 6 2 Medical 1 1550
## 296 11 4 Medical 1 2003
## 297 2 1 Life Sciences 1 256
## 298 7 3 Life Sciences 1 147
## 299 9 2 Medical 1 991
## 300 2 4 Medical 1 440
## 301 5 2 Life Sciences 1 889
## 302 18 5 Life Sciences 1 74
## 303 22 3 Technical Degree 1 1694
## 304 9 4 Medical 1 2008
## 305 2 3 Technical Degree 1 977
## 306 4 1 Life Sciences 1 888
## 307 9 3 Life Sciences 1 1030
## 308 3 4 Life Sciences 1 1115
## 309 18 4 Medical 1 1034
## 310 8 3 Life Sciences 1 707
## 311 1 4 Life Sciences 1 1580
## 312 6 3 Life Sciences 1 601
## 313 3 3 Life Sciences 1 1537
## 314 7 4 Medical 1 211
## 315 16 4 Marketing 1 732
## 316 4 2 Life Sciences 1 1003
## 317 2 4 Marketing 1 216
## 318 1 2 Life Sciences 1 1981
## 319 21 4 Life Sciences 1 1390
## 320 25 3 Life Sciences 1 1269
## 321 1 3 Life Sciences 1 951
## 322 1 5 Life Sciences 1 683
## 323 5 4 Life Sciences 1 861
## 324 8 4 Life Sciences 1 1080
## 325 1 1 Life Sciences 1 1026
## 326 4 3 Life Sciences 1 933
## 327 7 3 Medical 1 1608
## 328 18 4 Life Sciences 1 1998
## 329 8 3 Medical 1 1937
## 330 10 3 Human Resources 1 1408
## 331 1 3 Life Sciences 1 1677
## 332 4 4 Medical 1 291
## 333 1 2 Medical 1 1792
## 334 1 2 Life Sciences 1 725
## 335 2 4 Human Resources 1 140
## 336 29 4 Medical 1 1101
## 337 11 2 Marketing 1 1137
## 338 3 1 Life Sciences 1 1103
## 339 1 4 Other 1 1113
## 340 2 4 Life Sciences 1 54
## 341 5 4 Life Sciences 1 51
## 342 2 3 Life Sciences 1 1296
## 343 5 3 Life Sciences 1 1099
## 344 3 3 Medical 1 680
## 345 29 4 Life Sciences 1 1211
## 346 15 4 Marketing 1 1975
## 347 2 2 Life Sciences 1 1140
## 348 1 3 Life Sciences 1 384
## 349 17 3 Life Sciences 1 1206
## 350 9 3 Medical 1 762
## 351 6 3 Medical 1 1911
## 352 7 3 Technical Degree 1 416
## 353 26 2 Medical 1 1180
## 354 8 2 Life Sciences 1 1552
## 355 4 1 Marketing 1 1815
## 356 3 3 Other 1 1478
## 357 6 3 Other 1 164
## 358 25 5 Technical Degree 1 565
## 359 1 3 Medical 1 78
## 360 6 3 Life Sciences 1 373
## 361 1 4 Life Sciences 1 259
## 362 24 3 Technical Degree 1 1928
## 363 2 1 Marketing 1 1038
## 364 2 2 Medical 1 352
## 365 2 2 Medical 1 1336
## 366 6 3 Life Sciences 1 532
## 367 19 3 Medical 1 1285
## 368 9 2 Medical 1 1548
## 369 10 3 Technical Degree 1 1592
## 370 2 4 Medical 1 439
## 371 1 1 Life Sciences 1 1011
## 372 22 4 Other 1 567
## 373 7 3 Life Sciences 1 425
## 374 10 3 Medical 1 1640
## 375 9 1 Life Sciences 1 1680
## 376 22 5 Medical 1 1539
## 377 16 4 Life Sciences 1 1042
## 378 12 4 Marketing 1 1943
## 379 15 1 Life Sciences 1 1202
## 380 22 3 Life Sciences 1 1004
## 381 5 5 Life Sciences 1 447
## 382 25 1 Life Sciences 1 177
## 383 7 3 Marketing 1 1466
## 384 2 1 Technical Degree 1 113
## 385 4 4 Life Sciences 1 1081
## 386 1 3 Technical Degree 1 950
## 387 1 3 Marketing 1 314
## 388 19 3 Technical Degree 1 611
## 389 2 4 Life Sciences 1 1710
## 390 1 1 Technical Degree 1 478
## 391 8 2 Life Sciences 1 808
## 392 23 3 Marketing 1 72
## 393 3 2 Medical 1 1948
## 394 28 3 Marketing 1 573
## 395 2 1 Medical 1 875
## 396 2 4 Life Sciences 1 426
## 397 2 3 Life Sciences 1 575
## 398 9 4 Technical Degree 1 1467
## 399 1 4 Life Sciences 1 2026
## 400 2 1 Medical 1 1496
## 401 2 3 Life Sciences 1 548
## 402 21 2 Medical 1 270
## 403 9 4 Life Sciences 1 1856
## 404 5 4 Life Sciences 1 1651
## 405 27 1 Medical 1 856
## 406 6 4 Other 1 661
## 407 29 4 Marketing 1 1784
## 408 6 4 Life Sciences 1 1221
## 409 2 4 Life Sciences 1 23
## 410 14 2 Life Sciences 1 843
## 411 8 3 Life Sciences 1 878
## 412 6 3 Marketing 1 1708
## 413 19 2 Life Sciences 1 61
## 414 10 4 Marketing 1 1853
## 415 6 2 Marketing 1 555
## 416 2 2 Medical 1 1804
## 417 2 3 Medical 1 571
## 418 18 4 Life Sciences 1 407
## 419 1 3 Life Sciences 1 1196
## 420 3 4 Medical 1 564
## 421 1 2 Medical 1 110
## 422 25 5 Medical 1 529
## 423 6 4 Life Sciences 1 163
## 424 1 3 Life Sciences 1 1368
## 425 26 3 Life Sciences 1 1387
## 426 25 3 Medical 1 1076
## 427 7 3 Technical Degree 1 1482
## 428 3 2 Medical 1 379
## 429 1 3 Life Sciences 1 331
## 430 2 4 Life Sciences 1 339
## 431 2 3 Life Sciences 1 437
## 432 16 2 Life Sciences 1 1340
## 433 28 2 Life Sciences 1 1420
## 434 4 3 Technical Degree 1 1762
## 435 10 4 Marketing 1 954
## 436 8 4 Marketing 1 458
## 437 2 4 Medical 1 828
## 438 1 3 Medical 1 1952
## 439 3 2 Marketing 1 47
## 440 1 4 Life Sciences 1 724
## 441 2 2 Life Sciences 1 1235
## 442 9 4 Medical 1 1709
## 443 2 4 Life Sciences 1 364
## 444 1 3 Life Sciences 1 1683
## 445 2 4 Medical 1 1789
## 446 1 3 Technical Degree 1 1438
## 447 1 3 Life Sciences 1 1668
## 448 13 3 Medical 1 1803
## 449 29 5 Life Sciences 1 79
## 450 26 3 Marketing 1 1612
## 451 15 2 Medical 1 2009
## 452 20 3 Life Sciences 1 1475
## 453 27 3 Life Sciences 1 1797
## 454 10 4 Marketing 1 1924
## 455 1 4 Life Sciences 1 664
## 456 7 4 Medical 1 1740
## 457 5 4 Life Sciences 1 1673
## 458 21 4 Marketing 1 120
## 459 1 2 Life Sciences 1 1441
## 460 4 4 Life Sciences 1 1435
## 461 5 2 Other 1 591
## 462 7 3 Life Sciences 1 1659
## 463 12 3 Marketing 1 174
## 464 24 1 Technical Degree 1 1736
## 465 17 3 Technical Degree 1 1767
## 466 2 3 Life Sciences 1 24
## 467 2 4 Life Sciences 1 1556
## 468 6 3 Life Sciences 1 97
## 469 29 2 Medical 1 1037
## 470 13 2 Medical 1 250
## 471 2 4 Technical Degree 1 1931
## 472 24 2 Life Sciences 1 1868
## 473 6 4 Other 1 101
## 474 29 3 Medical 1 192
## 475 15 2 Life Sciences 1 1102
## 476 5 4 Marketing 1 62
## 477 16 4 Marketing 1 868
## 478 29 2 Medical 1 618
## 479 8 4 Other 1 1409
## 480 10 3 Life Sciences 1 2017
## 481 1 3 Life Sciences 1 1954
## 482 11 4 Life Sciences 1 895
## 483 22 4 Other 1 1932
## 484 8 3 Life Sciences 1 241
## 485 23 4 Medical 1 165
## 486 1 2 Life Sciences 1 1
## 487 9 3 Medical 1 1876
## 488 26 1 Life Sciences 1 16
## 489 1 2 Life Sciences 1 64
## 490 8 2 Medical 1 757
## 491 10 4 Life Sciences 1 396
## 492 28 3 Life Sciences 1 1317
## 493 10 3 Medical 1 1650
## 494 16 3 Life Sciences 1 1529
## 495 10 4 Technical Degree 1 1880
## 496 26 4 Marketing 1 851
## 497 10 2 Life Sciences 1 544
## 498 9 3 Medical 1 403
## 499 27 3 Medical 1 13
## 500 21 4 Life Sciences 1 1929
## 501 7 4 Medical 1 1360
## 502 24 3 Life Sciences 1 19
## 503 7 2 Medical 1 1691
## 504 21 4 Life Sciences 1 20
## 505 2 4 Medical 1 1443
## 506 5 2 Life Sciences 1 1555
## 507 5 3 Marketing 1 485
## 508 2 3 Marketing 1 1391
## 509 4 4 Marketing 1 311
## 510 12 3 Technical Degree 1 58
## 511 10 2 Life Sciences 1 2041
## 512 25 2 Life Sciences 1 1397
## 513 10 3 Life Sciences 1 1720
## 514 1 2 Life Sciences 1 73
## 515 9 2 Medical 1 484
## 516 2 3 Medical 1 408
## 517 19 2 Marketing 1 952
## 518 12 3 Medical 1 1768
## 519 6 3 Technical Degree 1 1311
## 520 24 2 Life Sciences 1 1907
## 521 16 4 Life Sciences 1 838
## 522 24 3 Medical 1 1604
## 523 7 3 Life Sciences 1 86
## 524 18 4 Life Sciences 1 638
## 525 3 3 Life Sciences 1 309
## 526 2 3 Marketing 1 1050
## 527 4 2 Life Sciences 1 240
## 528 11 2 Medical 1 1251
## 529 1 3 Medical 1 105
## 530 14 4 Life Sciences 1 161
## 531 17 1 Life Sciences 1 1088
## 532 1 4 Life Sciences 1 1585
## 533 23 2 Life Sciences 1 824
## 534 15 4 Medical 1 1955
## 535 8 4 Other 1 454
## 536 7 3 Medical 1 262
## 537 2 2 Marketing 1 1125
## 538 2 1 Technical Degree 1 470
## 539 1 1 Technical Degree 1 554
## 540 4 4 Marketing 1 1171
## 541 7 4 Life Sciences 1 1224
## 542 8 4 Life Sciences 1 1798
## 543 3 3 Medical 1 224
## 544 2 4 Life Sciences 1 271
## 545 2 4 Medical 1 804
## 546 19 3 Life Sciences 1 1701
## 547 8 2 Other 1 944
## 548 16 4 Medical 1 832
## 549 25 2 Life Sciences 1 421
## 550 24 4 Medical 1 1049
## 551 1 3 Human Resources 1 734
## 552 8 2 Medical 1 869
## 553 2 1 Human Resources 1 1890
## 554 20 4 Medical 1 945
## 555 9 5 Life Sciences 1 287
## 556 2 3 Marketing 1 656
## 557 8 4 Life Sciences 1 578
## 558 1 2 Life Sciences 1 649
## 559 29 3 Life Sciences 1 836
## 560 1 3 Life Sciences 1 476
## 561 3 2 Medical 1 238
## 562 15 4 Life Sciences 1 1837
## 563 16 4 Technical Degree 1 1001
## 564 10 3 Medical 1 1979
## 565 1 3 Life Sciences 1 806
## 566 1 3 Medical 1 2020
## 567 2 1 Technical Degree 1 362
## 568 1 3 Life Sciences 1 1562
## 569 14 2 Medical 1 936
## 570 24 3 Life Sciences 1 1005
## 571 8 3 Marketing 1 1909
## 572 18 1 Other 1 923
## 573 1 2 Life Sciences 1 1927
## 574 8 2 Technical Degree 1 1823
## 575 28 2 Marketing 1 641
## 576 1 4 Life Sciences 1 77
## 577 1 3 Life Sciences 1 1961
## 578 5 3 Life Sciences 1 1471
## 579 4 3 Medical 1 1633
## 580 7 3 Life Sciences 1 1260
## 581 19 1 Medical 1 1358
## 582 23 5 Life Sciences 1 468
## 583 18 3 Medical 1 1766
## 584 2 4 Marketing 1 846
## 585 10 4 Other 1 40
## 586 19 2 Medical 1 281
## 587 6 3 Medical 1 107
## 588 9 4 Life Sciences 1 27
## 589 11 3 Medical 1 1411
## 590 23 4 Medical 1 75
## 591 26 2 Other 1 1605
## 592 24 4 Medical 1 1489
## 593 1 3 Technical Degree 1 1486
## 594 25 4 Life Sciences 1 1617
## 595 15 3 Life Sciences 1 1628
## 596 1 3 Medical 1 855
## 597 25 3 Technical Degree 1 899
## 598 2 3 Medical 1 521
## 599 4 3 Life Sciences 1 2064
## 600 1 3 Medical 1 45
## 601 13 2 Life Sciences 1 1495
## 602 1 4 Technical Degree 1 1574
## 603 8 2 Life Sciences 1 1015
## 604 6 1 Medical 1 1192
## 605 9 3 Marketing 1 1752
## 606 7 3 Life Sciences 1 730
## 607 1 1 Life Sciences 1 91
## 608 7 2 Medical 1 382
## 609 7 3 Other 1 1417
## 610 8 1 Life Sciences 1 1044
## 611 1 3 Medical 1 1369
## 612 2 4 Other 1 616
## 613 2 2 Life Sciences 1 328
## 614 21 3 Other 1 959
## 615 8 2 Other 1 982
## 616 5 2 Medical 1 1696
## 617 4 4 Medical 1 1502
## 618 1 5 Marketing 1 68
## 619 6 1 Medical 1 2062
## 620 3 3 Life Sciences 1 704
## 621 6 3 Life Sciences 1 137
## 622 16 4 Medical 1 987
## 623 1 4 Life Sciences 1 797
## 624 26 4 Life Sciences 1 2040
## 625 2 2 Medical 1 1504
## 626 4 2 Life Sciences 1 1259
## 627 4 1 Medical 1 1445
## 628 15 2 Life Sciences 1 461
## 629 2 1 Life Sciences 1 1096
## 630 9 3 Medical 1 717
## 631 2 4 Technical Degree 1 1873
## 632 1 3 Marketing 1 1950
## 633 3 4 Life Sciences 1 1036
## 634 3 2 Life Sciences 1 155
## 635 7 3 Life Sciences 1 451
## 636 4 4 Other 1 1185
## 637 2 2 Medical 1 1109
## 638 13 4 Medical 1 1951
## 639 23 3 Medical 1 639
## 640 2 1 Marketing 1 667
## 641 24 1 Life Sciences 1 11
## 642 12 3 Life Sciences 1 1829
## 643 2 1 Medical 1 1074
## 644 16 4 Technical Degree 1 1905
## 645 5 2 Life Sciences 1 1210
## 646 4 4 Marketing 1 215
## 647 8 1 Medical 1 1156
## 648 17 4 Medical 1 1718
## 649 1 4 Marketing 1 100
## 650 7 3 Life Sciences 1 1649
## 651 1 3 Medical 1 1564
## 652 7 4 Marketing 1 1233
## 653 9 4 Medical 1 1166
## 654 29 1 Medical 1 473
## 655 4 1 Technical Degree 1 593
## 656 11 2 Medical 1 390
## 657 8 4 Life Sciences 1 296
## 658 11 4 Medical 1 1520
## 659 6 3 Medical 1 466
## 660 11 3 Life Sciences 1 85
## 661 24 4 Life Sciences 1 772
## 662 2 4 Life Sciences 1 579
## 663 2 3 Life Sciences 1 1732
## 664 10 3 Other 1 1028
## 665 23 4 Marketing 1 60
## 666 1 3 Life Sciences 1 1753
## 667 1 1 Medical 1 312
## 668 10 1 Medical 1 584
## 669 7 2 Life Sciences 1 1309
## 670 3 3 Life Sciences 1 1250
## 671 7 4 Medical 1 102
## 672 2 4 Medical 1 1670
## 673 7 3 Life Sciences 1 1507
## 674 25 4 Life Sciences 1 881
## 675 8 3 Medical 1 1647
## 676 4 2 Marketing 1 1280
## 677 1 3 Other 1 823
## 678 11 3 Technical Degree 1 1985
## 679 4 2 Life Sciences 1 2025
## 680 7 4 Life Sciences 1 941
## 681 4 1 Marketing 1 885
## 682 21 3 Medical 1 525
## 683 26 4 Life Sciences 1 1682
## 684 24 2 Life Sciences 1 223
## 685 21 3 Medical 1 221
## 686 9 1 Life Sciences 1 581
## 687 14 1 Other 1 1421
## 688 4 4 Medical 1 305
## 689 2 3 Life Sciences 1 243
## 690 2 3 Human Resources 1 1805
## 691 10 4 Human Resources 1 1563
## 692 29 4 Life Sciences 1 376
## 693 2 4 Other 1 477
## 694 4 3 Technical Degree 1 514
## 695 1 4 Medical 1 1700
## 696 2 4 Life Sciences 1 925
## 697 4 5 Medical 1 1644
## 698 5 2 Life Sciences 1 304
## 699 3 2 Medical 1 1624
## 700 15 2 Life Sciences 1 1217
## 701 6 1 Medical 1 1865
## 702 9 1 Life Sciences 1 1163
## 703 8 2 Marketing 1 1243
## 704 20 2 Medical 1 1818
## 705 6 2 Medical 1 321
## 706 10 2 Life Sciences 1 599
## 707 7 4 Medical 1 1830
## 708 8 2 Medical 1 1461
## 709 6 2 Other 1 1782
## 710 2 4 Life Sciences 1 905
## 711 17 4 Medical 1 1321
## 712 29 3 Marketing 1 568
## 713 2 2 Technical Degree 1 1258
## 714 3 4 Medical 1 481
## 715 8 4 Life Sciences 1 789
## 716 22 1 Human Resources 1 1714
## 717 10 3 Marketing 1 1179
## 718 10 3 Other 1 1097
## 719 12 4 Other 1 1667
## 720 3 3 Medical 1 1121
## 721 3 3 Other 1 689
## 722 19 3 Life Sciences 1 1631
## 723 1 4 Other 1 1431
## 724 12 5 Medical 1 1073
## 725 8 3 Life Sciences 1 1860
## 726 1 3 Life Sciences 1 350
## 727 21 2 Medical 1 900
## 728 10 4 Medical 1 277
## 729 24 3 Technical Degree 1 622
## 730 2 1 Technical Degree 1 169
## 731 8 3 Life Sciences 1 920
## 732 3 2 Medical 1 445
## 733 22 3 Human Resources 1 1944
## 734 11 4 Other 1 631
## 735 7 4 Medical 1 1577
## 736 2 2 Medical 1 1898
## 737 24 1 Marketing 1 2056
## 738 3 3 Life Sciences 1 1254
## 739 18 3 Medical 1 975
## 740 25 2 Other 1 652
## 741 28 3 Life Sciences 1 183
## 742 7 3 Life Sciences 1 613
## 743 13 3 Medical 1 1543
## 744 4 1 Medical 1 1735
## 745 8 2 Other 1 2018
## 746 21 2 Technical Degree 1 1551
## 747 13 3 Human Resources 1 1844
## 748 1 3 Medical 1 1184
## 749 29 1 Medical 1 1725
## 750 2 3 Life Sciences 1 242
## 751 9 3 Marketing 1 1077
## 752 1 3 Life Sciences 1 1331
## 753 20 5 Medical 1 1606
## 754 10 3 Life Sciences 1 1869
## 755 2 4 Technical Degree 1 126
## 756 24 3 Medical 1 744
## 757 21 1 Life Sciences 1 942
## 758 5 4 Technical Degree 1 1473
## 759 4 2 Medical 1 1687
## 760 2 3 Marketing 1 1277
## 761 10 3 Life Sciences 1 994
## 762 2 2 Other 1 820
## 763 10 2 Medical 1 1329
## 764 1 3 Life Sciences 1 1040
## 765 3 2 Human Resources 1 847
## 766 5 5 Medical 1 1611
## 767 7 2 Technical Degree 1 1085
## 768 28 3 Other 1 615
## 769 2 4 Technical Degree 1 1228
## 770 9 4 Life Sciences 1 1117
## 771 10 3 Marketing 1 446
## 772 1 2 Marketing 1 244
## 773 2 4 Technical Degree 1 343
## 774 9 3 Medical 1 90
## 775 2 3 Life Sciences 1 1547
## 776 10 1 Medical 1 784
## 777 1 3 Life Sciences 1 1499
## 778 2 1 Life Sciences 1 1190
## 779 7 3 Medical 1 1693
## 780 1 4 Medical 1 2027
## 781 20 2 Marketing 1 248
## 782 2 4 Technical Degree 1 721
## 783 3 2 Human Resources 1 910
## 784 25 3 Medical 1 1220
## 785 2 4 Marketing 1 1731
## 786 8 5 Life Sciences 1 1430
## 787 3 3 Technical Degree 1 1786
## 788 8 4 Medical 1 433
## 789 2 3 Medical 1 1770
## 790 1 3 Medical 1 1303
## 791 3 2 Medical 1 1509
## 792 27 2 Medical 1 247
## 793 2 2 Medical 1 1638
## 794 8 3 Technical Degree 1 83
## 795 18 4 Life Sciences 1 275
## 796 3 3 Life Sciences 1 702
## 797 20 2 Medical 1 372
## 798 8 1 Medical 1 1783
## 799 10 3 Medical 1 1248
## 800 3 2 Life Sciences 1 1664
## 801 1 3 Life Sciences 1 52
## 802 2 1 Life Sciences 1 604
## 803 10 1 Medical 1 429
## 804 4 3 Technical Degree 1 1100
## 805 23 3 Medical 1 132
## 806 10 3 Life Sciences 1 1790
## 807 18 1 Life Sciences 1 1399
## 808 19 1 Medical 1 217
## 809 16 1 Life Sciences 1 1729
## 810 17 3 Technical Degree 1 233
## 811 9 3 Medical 1 239
## 812 1 3 Technical Degree 1 1415
## 813 10 4 Marketing 1 507
## 814 26 4 Life Sciences 1 1625
## 815 9 3 Marketing 1 893
## 816 9 3 Medical 1 1238
## 817 2 3 Medical 1 833
## 818 7 3 Medical 1 817
## 819 2 1 Medical 1 198
## 820 13 2 Marketing 1 1933
## 821 5 4 Other 1 1607
## 822 20 2 Marketing 1 349
## 823 28 3 Marketing 1 2035
## 824 15 3 Medical 1 1160
## 825 12 4 Life Sciences 1 1614
## 826 1 4 Medical 1 1069
## 827 16 4 Marketing 1 1761
## 828 2 3 Marketing 1 1281
## 829 2 2 Medical 1 1760
## 830 3 3 Medical 1 644
## 831 23 2 Life Sciences 1 1002
## 832 22 1 Marketing 1 167
## 833 19 4 Medical 1 1216
## 834 9 2 Life Sciences 1 1193
## 835 8 1 Medical 1 1278
## 836 9 4 Medical 1 626
## 837 4 1 Life Sciences 1 1394
## 838 21 4 Life Sciences 1 621
## 839 4 3 Life Sciences 1 1827
## 840 10 3 Life Sciences 1 1867
## 841 3 3 Life Sciences 1 405
## 842 17 3 Other 1 1419
## 843 25 4 Medical 1 867
## 844 9 3 Life Sciences 1 1344
## 845 3 2 Life Sciences 1 1779
## 846 17 2 Medical 1 536
## 847 3 1 Medical 1 201
## 848 1 3 Medical 1 417
## 849 22 2 Marketing 1 492
## 850 6 3 Other 1 1918
## 851 20 3 Life Sciences 1 175
## 852 9 2 Medical 1 41
## 853 15 2 Life Sciences 1 15
## 854 16 2 Medical 1 412
## 855 16 2 Other 1 1886
## 856 7 1 Life Sciences 1 1492
## 857 3 3 Technical Degree 1 297
## 858 7 2 Life Sciences 1 442
## 859 9 4 Life Sciences 1 200
## 860 15 3 Medical 1 1295
## 861 6 2 Medical 1 1297
## 862 4 4 Marketing 1 1293
## 863 19 3 Marketing 1 502
## 864 3 3 Medical 1 746
## 865 29 3 Technical Degree 1 1465
## 866 4 3 Life Sciences 1 1363
## 867 26 4 Marketing 1 333
## 868 14 3 Medical 1 1503
## 869 7 3 Medical 1 1195
## 870 2 3 Medical 1 269
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## 1 2 Male 73 3 2
## 2 3 Male 44 2 5
## 3 3 Male 60 3 3
## 4 3 Female 48 3 3
## 5 1 Female 32 3 1
## 6 4 Male 32 3 3
## 7 2 Male 90 4 1
## 8 4 Female 88 2 2
## 9 3 Female 87 3 1
## 10 4 Male 92 2 2
## 11 1 Female 81 2 5
## 12 3 Male 43 3 1
## 13 3 Male 59 3 3
## 14 3 Male 72 3 1
## 15 4 Female 44 3 1
## 16 4 Female 45 3 2
## 17 3 Female 93 3 2
## 18 3 Female 30 3 2
## 19 4 Male 97 4 1
## 20 2 Male 78 4 2
## 21 2 Male 48 2 2
## 22 2 Male 56 4 2
## 23 4 Male 72 3 2
## 24 4 Male 54 3 2
## 25 2 Female 42 2 2
## 26 2 Male 88 3 5
## 27 3 Male 80 3 2
## 28 1 Female 77 3 2
## 29 1 Male 66 3 3
## 30 4 Male 41 3 1
## 31 4 Male 35 1 2
## 32 2 Male 79 4 1
## 33 3 Female 75 1 4
## 34 4 Male 58 2 1
## 35 4 Male 56 2 2
## 36 2 Male 100 4 1
## 37 4 Male 55 2 3
## 38 2 Male 96 2 2
## 39 4 Male 99 3 5
## 40 3 Male 67 4 1
## 41 2 Male 52 3 4
## 42 2 Male 46 1 2
## 43 4 Female 74 3 1
## 44 4 Male 93 2 5
## 45 4 Male 47 3 1
## 46 1 Female 74 3 1
## 47 1 Male 34 1 2
## 48 3 Male 73 2 3
## 49 2 Male 69 3 1
## 50 4 Male 57 3 1
## 51 3 Female 43 3 1
## 52 4 Female 76 3 5
## 53 1 Female 72 4 1
## 54 3 Male 57 3 2
## 55 3 Female 61 3 2
## 56 3 Male 94 3 1
## 57 3 Male 57 4 1
## 58 2 Male 87 3 1
## 59 1 Female 80 3 3
## 60 3 Male 73 1 1
## 61 3 Male 51 2 3
## 62 4 Female 63 3 3
## 63 1 Male 54 3 1
## 64 2 Female 33 3 1
## 65 4 Female 97 3 1
## 66 1 Male 80 4 1
## 67 2 Male 82 1 2
## 68 4 Male 78 3 1
## 69 2 Male 79 3 1
## 70 4 Female 42 3 1
## 71 4 Male 76 3 1
## 72 4 Male 84 3 2
## 73 2 Male 50 2 2
## 74 2 Male 46 3 1
## 75 2 Male 64 3 3
## 76 3 Female 58 3 2
## 77 4 Male 64 2 3
## 78 4 Male 56 4 4
## 79 4 Female 57 2 3
## 80 4 Female 59 1 1
## 81 1 Female 61 1 2
## 82 4 Male 49 3 2
## 83 1 Male 72 2 2
## 84 3 Male 51 4 2
## 85 3 Female 53 3 2
## 86 3 Female 69 2 4
## 87 4 Male 42 3 2
## 88 3 Male 39 2 1
## 89 4 Male 37 3 3
## 90 2 Female 83 3 5
## 91 4 Male 42 3 1
## 92 4 Female 45 2 3
## 93 4 Male 92 2 1
## 94 1 Female 51 3 2
## 95 3 Female 53 3 5
## 96 2 Male 99 3 2
## 97 3 Female 51 3 4
## 98 3 Male 100 2 2
## 99 4 Female 97 3 1
## 100 4 Female 86 2 1
## 101 2 Male 91 3 1
## 102 1 Male 31 3 3
## 103 3 Female 72 3 2
## 104 1 Male 58 4 1
## 105 4 Male 39 4 4
## 106 1 Male 82 4 1
## 107 4 Male 41 3 2
## 108 3 Male 71 4 5
## 109 4 Female 66 3 2
## 110 4 Male 78 3 1
## 111 3 Male 39 2 1
## 112 4 Male 70 3 4
## 113 2 Male 87 3 3
## 114 4 Female 61 3 2
## 115 3 Male 94 3 2
## 116 1 Male 32 3 3
## 117 3 Male 57 3 2
## 118 4 Male 46 2 2
## 119 1 Male 56 3 1
## 120 3 Female 98 3 2
## 121 1 Female 63 4 3
## 122 3 Male 58 3 1
## 123 4 Male 74 3 3
## 124 4 Female 46 2 2
## 125 2 Male 44 3 2
## 126 3 Female 55 3 2
## 127 2 Female 72 1 1
## 128 2 Female 93 2 2
## 129 1 Female 73 2 2
## 130 1 Female 45 4 4
## 131 1 Male 43 2 2
## 132 4 Female 80 3 2
## 133 4 Female 88 2 2
## 134 4 Male 66 3 2
## 135 3 Female 82 2 2
## 136 3 Female 38 4 2
## 137 2 Female 36 2 1
## 138 3 Female 56 3 3
## 139 4 Male 70 3 1
## 140 3 Male 87 3 3
## 141 4 Male 68 3 4
## 142 1 Male 88 3 1
## 143 4 Male 75 3 3
## 144 3 Male 98 3 2
## 145 2 Female 89 4 2
## 146 4 Male 61 3 2
## 147 4 Female 72 3 1
## 148 1 Male 46 3 2
## 149 4 Male 49 3 1
## 150 2 Female 39 1 2
## 151 2 Male 46 3 2
## 152 4 Male 55 3 2
## 153 4 Male 91 2 2
## 154 2 Male 85 4 2
## 155 2 Male 83 3 1
## 156 4 Female 85 3 2
## 157 2 Female 92 3 2
## 158 1 Male 84 3 4
## 159 3 Female 83 3 3
## 160 1 Female 60 3 3
## 161 4 Male 55 2 2
## 162 2 Male 72 2 3
## 163 3 Male 39 3 2
## 164 4 Female 82 4 2
## 165 3 Male 96 3 3
## 166 3 Female 49 2 1
## 167 1 Female 72 3 4
## 168 1 Female 95 4 4
## 169 4 Male 78 3 2
## 170 3 Female 93 3 1
## 171 3 Male 99 3 2
## 172 3 Male 64 3 2
## 173 1 Female 86 3 3
## 174 4 Male 82 4 3
## 175 3 Male 45 3 4
## 176 4 Female 70 2 1
## 177 4 Male 78 3 5
## 178 1 Male 57 3 1
## 179 2 Female 43 3 3
## 180 1 Female 59 2 2
## 181 3 Male 44 2 3
## 182 2 Female 31 3 2
## 183 2 Female 72 4 1
## 184 2 Female 32 3 3
## 185 3 Female 48 3 1
## 186 4 Male 94 3 1
## 187 4 Male 77 4 2
## 188 2 Female 47 4 4
## 189 1 Male 96 3 5
## 190 2 Male 43 3 2
## 191 4 Female 64 3 2
## 192 1 Female 68 3 3
## 193 3 Female 87 3 2
## 194 2 Female 37 3 2
## 195 1 Male 36 2 1
## 196 3 Male 96 3 1
## 197 4 Male 96 3 1
## 198 4 Male 56 2 4
## 199 1 Female 42 2 3
## 200 4 Male 94 2 1
## 201 2 Female 100 4 4
## 202 2 Male 66 3 2
## 203 3 Female 98 2 2
## 204 1 Female 67 1 1
## 205 3 Female 56 3 1
## 206 2 Male 61 3 1
## 207 1 Female 85 1 2
## 208 2 Male 70 3 2
## 209 4 Female 84 3 1
## 210 3 Male 96 3 3
## 211 1 Female 60 2 4
## 212 4 Male 90 3 5
## 213 4 Male 80 4 1
## 214 4 Female 43 2 2
## 215 1 Male 54 2 1
## 216 3 Male 68 3 1
## 217 3 Female 76 3 2
## 218 4 Female 58 3 4
## 219 1 Female 75 3 1
## 220 3 Male 53 3 1
## 221 4 Male 60 3 2
## 222 1 Female 100 3 2
## 223 3 Female 36 3 2
## 224 1 Male 72 2 1
## 225 2 Male 71 3 1
## 226 4 Male 76 3 1
## 227 3 Male 75 3 1
## 228 4 Male 60 4 1
## 229 1 Female 33 3 2
## 230 3 Female 41 2 4
## 231 4 Female 59 2 2
## 232 4 Female 97 3 1
## 233 3 Male 82 1 4
## 234 4 Female 52 3 2
## 235 3 Male 92 3 4
## 236 1 Male 46 2 3
## 237 1 Male 56 3 5
## 238 1 Female 92 3 2
## 239 3 Female 82 3 1
## 240 4 Female 50 2 3
## 241 4 Male 56 3 3
## 242 2 Female 83 3 5
## 243 3 Male 76 3 1
## 244 1 Male 68 2 1
## 245 2 Male 79 2 2
## 246 1 Female 62 2 1
## 247 3 Female 39 3 3
## 248 2 Male 68 2 1
## 249 4 Female 75 3 2
## 250 2 Female 91 3 4
## 251 2 Male 59 2 1
## 252 1 Male 84 3 2
## 253 2 Female 95 2 1
## 254 4 Male 89 4 1
## 255 4 Male 55 2 3
## 256 1 Male 52 3 1
## 257 4 Female 84 3 1
## 258 4 Female 73 3 2
## 259 3 Male 64 3 3
## 260 4 Male 57 3 1
## 261 3 Female 90 2 1
## 262 1 Male 100 2 1
## 263 3 Male 58 3 1
## 264 3 Female 84 3 1
## 265 2 Male 52 3 1
## 266 1 Male 84 4 1
## 267 2 Male 71 3 4
## 268 4 Male 95 3 1
## 269 4 Male 36 3 2
## 270 3 Male 85 3 2
## 271 3 Female 67 3 2
## 272 4 Female 66 3 2
## 273 2 Female 36 2 2
## 274 3 Female 98 2 2
## 275 3 Male 61 4 5
## 276 4 Female 92 3 5
## 277 1 Female 43 3 1
## 278 3 Female 33 3 1
## 279 3 Male 46 2 2
## 280 4 Male 30 3 2
## 281 4 Male 73 3 2
## 282 4 Male 59 3 1
## 283 3 Female 52 3 2
## 284 4 Male 73 3 2
## 285 3 Male 37 4 1
## 286 2 Male 79 3 2
## 287 4 Male 75 3 1
## 288 2 Male 93 3 1
## 289 2 Female 92 3 3
## 290 1 Female 72 3 1
## 291 4 Female 91 3 1
## 292 2 Female 47 3 2
## 293 4 Female 99 3 1
## 294 3 Female 98 3 3
## 295 3 Male 38 3 4
## 296 4 Male 43 3 1
## 297 4 Male 45 2 2
## 298 1 Male 66 1 2
## 299 3 Male 46 2 1
## 300 1 Male 84 1 1
## 301 2 Male 48 3 2
## 302 2 Male 71 3 3
## 303 1 Male 94 2 1
## 304 2 Male 48 3 2
## 305 4 Male 51 3 1
## 306 1 Male 46 2 1
## 307 1 Male 64 3 1
## 308 3 Male 40 2 1
## 309 3 Male 62 3 2
## 310 4 Male 57 4 2
## 311 2 Male 45 3 2
## 312 2 Female 75 3 4
## 313 4 Female 33 3 1
## 314 2 Male 34 2 2
## 315 1 Male 84 3 2
## 316 4 Female 83 3 2
## 317 3 Female 75 3 1
## 318 2 Male 45 2 2
## 319 1 Male 44 2 2
## 320 2 Female 57 4 1
## 321 3 Female 70 2 1
## 322 2 Male 42 3 1
## 323 2 Male 75 2 1
## 324 4 Female 74 2 2
## 325 4 Female 65 2 4
## 326 2 Female 76 3 1
## 327 2 Female 31 3 5
## 328 4 Male 35 3 2
## 329 4 Female 58 2 2
## 330 3 Female 31 3 4
## 331 3 Male 36 3 4
## 332 4 Male 32 1 3
## 333 3 Male 99 3 1
## 334 3 Female 68 3 3
## 335 3 Female 32 2 5
## 336 1 Female 54 2 2
## 337 4 Male 54 3 2
## 338 1 Male 45 3 2
## 339 4 Male 81 3 2
## 340 4 Female 33 3 1
## 341 2 Female 82 2 1
## 342 4 Male 52 2 1
## 343 4 Male 34 2 3
## 344 3 Female 71 3 1
## 345 3 Male 61 3 2
## 346 2 Male 77 3 4
## 347 4 Male 95 3 2
## 348 3 Female 84 3 2
## 349 4 Male 74 1 1
## 350 3 Male 81 3 4
## 351 3 Male 83 3 3
## 352 2 Male 100 4 2
## 353 3 Female 92 2 2
## 354 4 Male 72 3 2
## 355 3 Female 81 3 3
## 356 4 Male 81 1 2
## 357 3 Female 46 2 1
## 358 3 Female 71 2 1
## 359 1 Male 33 3 2
## 360 4 Male 47 3 1
## 361 3 Male 65 2 5
## 362 3 Male 45 4 1
## 363 1 Female 57 1 5
## 364 1 Male 49 3 5
## 365 4 Female 58 1 5
## 366 3 Female 86 4 4
## 367 3 Female 46 3 2
## 368 1 Male 47 3 2
## 369 4 Male 45 4 1
## 370 1 Female 74 4 2
## 371 3 Female 96 3 2
## 372 3 Female 69 3 3
## 373 1 Male 97 3 3
## 374 2 Female 71 3 1
## 375 4 Male 54 3 1
## 376 3 Male 88 1 4
## 377 3 Female 43 4 1
## 378 2 Male 77 3 2
## 379 2 Female 69 1 1
## 380 1 Female 48 3 1
## 381 4 Male 42 3 5
## 382 3 Female 61 3 1
## 383 3 Male 96 3 2
## 384 3 Male 62 3 1
## 385 1 Male 34 3 1
## 386 4 Female 80 3 3
## 387 3 Female 92 3 3
## 388 4 Male 34 3 2
## 389 3 Female 51 3 2
## 390 1 Female 99 2 1
## 391 3 Female 93 3 2
## 392 3 Female 47 2 2
## 393 3 Male 48 3 1
## 394 3 Female 80 2 3
## 395 2 Male 35 3 1
## 396 3 Male 32 3 1
## 397 1 Male 51 3 4
## 398 1 Female 52 3 1
## 399 3 Male 57 3 2
## 400 2 Male 86 3 3
## 401 3 Female 43 1 2
## 402 3 Female 36 3 2
## 403 2 Female 64 3 1
## 404 2 Female 42 3 3
## 405 3 Female 53 2 1
## 406 2 Male 50 2 4
## 407 1 Female 91 2 2
## 408 3 Male 60 1 1
## 409 1 Female 78 2 4
## 410 2 Male 94 3 4
## 411 1 Male 77 2 1
## 412 4 Male 35 3 3
## 413 2 Male 73 3 1
## 414 4 Male 79 3 2
## 415 4 Female 33 1 1
## 416 2 Male 90 3 2
## 417 3 Female 49 3 1
## 418 3 Male 81 4 1
## 419 4 Female 56 2 2
## 420 2 Male 93 2 3
## 421 1 Male 94 3 2
## 422 2 Female 72 3 2
## 423 2 Male 76 1 2
## 424 4 Female 97 3 1
## 425 3 Male 48 2 2
## 426 3 Male 79 2 3
## 427 3 Male 64 3 1
## 428 4 Male 100 2 1
## 429 4 Male 62 2 1
## 430 4 Male 84 2 2
## 431 4 Male 74 3 2
## 432 3 Male 74 3 1
## 433 1 Male 97 2 2
## 434 4 Female 91 2 1
## 435 1 Male 67 2 3
## 436 2 Female 56 3 2
## 437 3 Male 46 3 1
## 438 3 Male 95 3 1
## 439 1 Male 86 2 1
## 440 2 Female 33 4 2
## 441 4 Female 38 3 2
## 442 4 Female 43 3 1
## 443 1 Male 79 3 1
## 444 3 Female 44 3 1
## 445 3 Male 46 3 5
## 446 1 Male 74 3 1
## 447 4 Male 90 3 2
## 448 2 Male 95 4 2
## 449 4 Female 50 3 2
## 450 1 Male 52 2 2
## 451 2 Female 95 3 2
## 452 4 Male 49 3 1
## 453 3 Male 84 3 2
## 454 2 Male 43 3 2
## 455 4 Female 40 2 4
## 456 2 Male 88 3 5
## 457 1 Female 67 3 2
## 458 3 Male 71 3 2
## 459 1 Female 90 3 1
## 460 1 Male 37 2 2
## 461 2 Male 97 3 1
## 462 1 Male 77 3 1
## 463 3 Female 77 3 3
## 464 4 Female 30 3 2
## 465 3 Male 38 2 1
## 466 4 Male 45 3 1
## 467 3 Male 70 3 1
## 468 2 Female 55 4 1
## 469 2 Male 79 1 2
## 470 4 Female 57 4 2
## 471 2 Male 41 3 1
## 472 4 Male 73 2 1
## 473 4 Male 52 3 3
## 474 3 Male 83 3 1
## 475 1 Male 50 3 1
## 476 1 Male 98 3 2
## 477 4 Male 66 2 2
## 478 1 Male 45 3 2
## 479 3 Female 54 3 1
## 480 3 Female 42 4 3
## 481 1 Male 89 3 2
## 482 4 Male 48 3 1
## 483 3 Male 86 2 2
## 484 3 Female 67 3 1
## 485 4 Female 94 3 3
## 486 2 Female 94 3 2
## 487 2 Male 89 3 1
## 488 1 Male 31 3 1
## 489 1 Male 98 2 3
## 490 2 Female 96 3 2
## 491 3 Female 35 3 5
## 492 4 Female 43 3 4
## 493 3 Male 42 2 2
## 494 4 Female 91 2 3
## 495 2 Female 63 2 2
## 496 1 Female 66 3 4
## 497 1 Male 69 3 1
## 498 2 Male 53 3 1
## 499 3 Male 94 3 2
## 500 1 Female 32 1 2
## 501 3 Female 53 2 3
## 502 3 Male 50 2 1
## 503 4 Female 95 3 1
## 504 2 Female 51 4 3
## 505 1 Female 82 3 4
## 506 4 Female 67 2 2
## 507 4 Female 34 3 1
## 508 2 Male 52 3 3
## 509 1 Male 41 3 1
## 510 2 Female 49 3 5
## 511 1 Female 100 3 2
## 512 3 Male 71 3 3
## 513 1 Male 56 3 1
## 514 1 Female 98 3 3
## 515 1 Male 39 3 1
## 516 4 Male 84 1 2
## 517 3 Male 36 2 1
## 518 2 Male 57 3 1
## 519 1 Female 48 2 2
## 520 1 Male 97 3 1
## 521 3 Female 100 2 1
## 522 3 Male 51 3 1
## 523 2 Male 59 3 3
## 524 4 Male 58 2 5
## 525 3 Male 70 2 1
## 526 3 Female 38 2 3
## 527 3 Female 30 3 2
## 528 3 Male 80 3 2
## 529 2 Male 30 2 1
## 530 2 Female 72 3 1
## 531 3 Female 65 2 3
## 532 2 Female 73 3 2
## 533 3 Male 81 4 1
## 534 3 Female 34 3 2
## 535 2 Male 77 1 1
## 536 4 Male 37 4 1
## 537 4 Male 32 3 3
## 538 3 Male 52 3 1
## 539 1 Female 62 3 1
## 540 2 Male 45 3 2
## 541 3 Male 49 3 2
## 542 4 Male 90 4 1
## 543 3 Male 79 2 1
## 544 4 Male 88 3 2
## 545 3 Female 86 2 1
## 546 2 Female 35 2 1
## 547 1 Female 51 3 3
## 548 1 Male 51 2 2
## 549 1 Female 81 2 3
## 550 2 Male 36 3 1
## 551 4 Male 59 2 5
## 552 2 Male 63 2 1
## 553 2 Male 94 2 2
## 554 4 Male 51 3 1
## 555 4 Male 63 2 2
## 556 4 Male 75 3 2
## 557 3 Female 42 3 2
## 558 2 Male 83 2 1
## 559 2 Male 98 3 2
## 560 3 Male 57 3 2
## 561 4 Male 30 3 1
## 562 1 Male 87 3 4
## 563 3 Female 37 3 1
## 564 3 Female 40 3 3
## 565 4 Male 38 1 1
## 566 2 Male 42 3 1
## 567 4 Male 84 2 2
## 568 2 Male 64 2 2
## 569 3 Female 68 2 2
## 570 4 Male 95 3 4
## 571 3 Female 54 3 2
## 572 4 Female 65 3 1
## 573 3 Male 42 2 2
## 574 2 Male 92 4 2
## 575 1 Male 66 3 2
## 576 1 Male 51 2 2
## 577 1 Male 59 2 1
## 578 3 Male 90 2 1
## 579 1 Female 81 3 2
## 580 3 Male 82 3 2
## 581 4 Male 67 3 1
## 582 1 Female 44 3 4
## 583 2 Male 60 1 2
## 584 2 Female 81 3 2
## 585 4 Male 41 3 2
## 586 3 Male 99 3 2
## 587 2 Female 79 1 2
## 588 3 Male 82 2 1
## 589 1 Female 94 3 1
## 590 3 Female 30 3 1
## 591 2 Female 85 2 1
## 592 1 Female 40 2 2
## 593 1 Male 92 3 1
## 594 3 Female 84 3 1
## 595 1 Female 80 2 3
## 596 1 Male 48 4 2
## 597 4 Male 78 2 3
## 598 2 Female 78 2 2
## 599 2 Male 87 4 2
## 600 2 Male 61 3 1
## 601 4 Female 78 3 1
## 602 4 Male 62 3 2
## 603 2 Female 73 4 3
## 604 2 Female 54 3 1
## 605 2 Female 52 1 1
## 606 3 Male 59 4 4
## 607 1 Female 57 2 2
## 608 1 Female 44 4 2
## 609 3 Male 100 4 1
## 610 2 Female 88 2 1
## 611 4 Female 60 2 2
## 612 1 Female 62 2 2
## 613 1 Female 39 3 1
## 614 4 Male 37 2 1
## 615 3 Male 62 3 3
## 616 2 Male 57 2 2
## 617 1 Female 82 2 1
## 618 2 Female 75 3 2
## 619 4 Male 42 2 3
## 620 3 Male 41 2 1
## 621 4 Female 66 2 1
## 622 3 Male 64 4 2
## 623 2 Female 72 4 1
## 624 3 Female 31 3 3
## 625 3 Male 38 2 1
## 626 1 Male 76 3 1
## 627 4 Female 42 3 2
## 628 3 Male 92 2 3
## 629 4 Male 65 3 3
## 630 4 Female 46 2 3
## 631 2 Male 98 2 1
## 632 1 Male 32 3 3
## 633 2 Male 42 3 2
## 634 1 Female 39 3 1
## 635 3 Female 43 3 3
## 636 4 Male 47 2 1
## 637 4 Male 35 3 4
## 638 4 Male 39 3 3
## 639 2 Male 89 4 1
## 640 3 Male 85 3 1
## 641 4 Male 67 3 1
## 642 2 Female 47 3 2
## 643 3 Male 40 2 4
## 644 4 Male 85 1 1
## 645 1 Male 95 2 1
## 646 3 Male 67 2 3
## 647 3 Male 80 3 1
## 648 4 Male 62 1 1
## 649 3 Male 32 2 2
## 650 1 Male 73 3 1
## 651 4 Male 68 2 1
## 652 2 Male 52 4 2
## 653 2 Female 88 3 3
## 654 1 Female 91 3 3
## 655 3 Male 99 2 1
## 656 1 Male 60 3 2
## 657 2 Male 81 2 3
## 658 2 Female 87 3 4
## 659 4 Male 95 2 2
## 660 2 Male 95 2 2
## 661 1 Male 80 3 2
## 662 4 Male 62 2 1
## 663 3 Male 74 3 3
## 664 2 Male 45 3 1
## 665 2 Male 72 3 2
## 666 4 Male 70 4 2
## 667 2 Female 42 3 3
## 668 1 Male 38 1 1
## 669 4 Male 79 3 2
## 670 4 Male 85 3 4
## 671 1 Male 30 3 3
## 672 4 Male 93 3 2
## 673 3 Male 55 3 2
## 674 4 Female 96 3 1
## 675 2 Female 86 4 1
## 676 4 Female 33 2 5
## 677 3 Female 35 3 2
## 678 4 Female 73 3 2
## 679 4 Female 97 3 2
## 680 2 Male 41 2 1
## 681 3 Male 87 2 2
## 682 4 Male 61 3 1
## 683 1 Male 80 3 2
## 684 3 Male 83 4 3
## 685 3 Male 42 3 1
## 686 3 Male 33 3 3
## 687 3 Female 84 3 3
## 688 3 Female 47 2 1
## 689 2 Male 47 2 1
## 690 1 Male 100 3 1
## 691 3 Male 71 3 2
## 692 1 Male 88 3 3
## 693 1 Male 98 2 2
## 694 3 Male 40 3 1
## 695 3 Male 31 1 2
## 696 4 Female 65 2 1
## 697 3 Male 89 2 4
## 698 4 Male 62 3 2
## 699 2 Female 70 3 1
## 700 4 Male 52 3 5
## 701 4 Male 87 2 1
## 702 2 Female 70 3 2
## 703 3 Female 78 2 3
## 704 4 Female 69 3 1
## 705 2 Male 52 3 1
## 706 4 Male 56 3 2
## 707 4 Female 68 3 2
## 708 4 Female 96 4 1
## 709 4 Female 40 2 1
## 710 1 Male 98 3 4
## 711 2 Female 95 3 3
## 712 1 Male 56 2 4
## 713 4 Male 76 4 1
## 714 1 Male 48 2 3
## 715 1 Male 76 2 3
## 716 4 Male 58 1 1
## 717 3 Male 72 2 2
## 718 3 Female 59 3 2
## 719 4 Male 36 3 2
## 720 4 Female 93 3 3
## 721 3 Male 36 3 3
## 722 3 Male 85 3 2
## 723 4 Male 91 3 1
## 724 4 Female 51 2 3
## 725 4 Male 81 3 1
## 726 1 Female 62 3 2
## 727 3 Female 54 3 1
## 728 4 Male 43 3 1
## 729 3 Male 66 1 1
## 730 3 Male 100 3 1
## 731 1 Female 55 3 2
## 732 4 Female 41 3 2
## 733 1 Female 58 2 1
## 734 4 Male 60 4 2
## 735 1 Male 35 3 1
## 736 1 Female 89 4 2
## 737 2 Female 60 2 4
## 738 3 Female 48 2 2
## 739 3 Female 86 3 2
## 740 1 Male 54 2 2
## 741 1 Male 41 2 2
## 742 3 Male 44 2 3
## 743 1 Male 47 3 2
## 744 3 Female 51 3 1
## 745 1 Female 85 3 2
## 746 3 Male 57 2 1
## 747 1 Male 56 2 1
## 748 4 Male 97 2 2
## 749 2 Male 91 3 1
## 750 3 Male 90 3 1
## 751 4 Female 54 3 1
## 752 4 Female 54 3 1
## 753 2 Male 41 3 4
## 754 3 Female 64 3 3
## 755 1 Female 60 3 3
## 756 1 Male 49 1 1
## 757 4 Female 51 3 2
## 758 1 Male 96 3 2
## 759 4 Female 87 3 1
## 760 1 Female 94 1 5
## 761 4 Female 92 2 1
## 762 3 Female 33 3 4
## 763 3 Male 40 1 2
## 764 4 Female 95 3 2
## 765 3 Male 88 3 1
## 766 3 Female 50 1 2
## 767 2 Female 43 4 1
## 768 3 Male 58 1 3
## 769 4 Male 60 3 2
## 770 2 Female 65 2 2
## 771 2 Male 46 2 2
## 772 2 Female 92 3 3
## 773 3 Female 64 3 3
## 774 4 Male 79 2 1
## 775 4 Male 40 3 3
## 776 1 Male 79 4 1
## 777 3 Male 46 3 1
## 778 3 Female 76 3 1
## 779 4 Male 76 3 1
## 780 1 Male 36 3 1
## 781 2 Female 70 3 1
## 782 4 Female 80 2 2
## 783 4 Male 57 3 1
## 784 2 Female 82 3 2
## 785 3 Male 87 3 2
## 786 1 Female 93 3 4
## 787 1 Female 53 3 3
## 788 3 Male 85 2 2
## 789 3 Male 60 2 5
## 790 4 Female 40 3 1
## 791 3 Female 43 2 2
## 792 4 Female 95 3 1
## 793 4 Female 54 2 3
## 794 3 Female 59 3 3
## 795 4 Male 92 3 2
## 796 1 Male 70 3 1
## 797 3 Male 79 3 4
## 798 3 Female 79 3 1
## 799 1 Female 96 2 1
## 800 4 Male 79 4 2
## 801 3 Female 42 4 2
## 802 2 Male 77 3 2
## 803 3 Male 99 3 4
## 804 4 Male 86 3 3
## 805 2 Male 67 3 2
## 806 4 Male 90 3 3
## 807 1 Male 93 4 2
## 808 3 Male 80 3 1
## 809 2 Male 33 3 1
## 810 3 Male 51 3 1
## 811 3 Male 66 3 2
## 812 1 Male 81 3 1
## 813 4 Female 77 3 2
## 814 4 Female 98 3 5
## 815 2 Male 98 2 1
## 816 1 Male 60 3 1
## 817 3 Female 52 2 2
## 818 3 Male 49 3 3
## 819 2 Male 35 2 1
## 820 4 Female 84 3 2
## 821 2 Female 35 4 1
## 822 4 Male 45 3 2
## 823 4 Female 95 2 2
## 824 3 Male 72 3 1
## 825 3 Female 76 3 2
## 826 4 Male 40 3 5
## 827 1 Male 70 3 3
## 828 3 Female 86 3 2
## 829 3 Female 75 2 1
## 830 1 Male 99 3 5
## 831 4 Male 42 3 2
## 832 4 Male 50 3 1
## 833 4 Male 78 2 1
## 834 3 Male 54 3 1
## 835 4 Male 37 2 4
## 836 1 Male 69 3 3
## 837 3 Male 54 3 1
## 838 4 Male 74 4 2
## 839 3 Female 92 2 3
## 840 4 Male 91 2 5
## 841 3 Male 54 3 1
## 842 2 Male 51 2 3
## 843 3 Female 81 2 4
## 844 4 Male 86 3 3
## 845 4 Female 32 1 2
## 846 3 Male 79 3 2
## 847 2 Female 79 3 1
## 848 3 Male 48 4 3
## 849 3 Male 68 2 2
## 850 3 Male 61 4 1
## 851 2 Female 71 1 2
## 852 4 Male 83 2 1
## 853 4 Female 49 2 2
## 854 2 Male 68 4 2
## 855 4 Female 44 2 2
## 856 4 Male 76 3 1
## 857 4 Female 88 3 1
## 858 3 Female 48 2 3
## 859 3 Male 94 3 1
## 860 1 Female 73 3 3
## 861 2 Female 40 2 1
## 862 4 Female 56 2 3
## 863 1 Male 67 4 2
## 864 4 Female 49 3 4
## 865 2 Male 55 3 3
## 866 4 Male 54 3 3
## 867 3 Male 100 3 2
## 868 3 Female 78 3 2
## 869 1 Female 83 3 1
## 870 2 Female 37 3 2
## JobRole JobSatisfaction MaritalStatus MonthlyIncome
## 1 Sales Executive 4 Divorced 4403
## 2 Research Director 3 Single 19626
## 3 Manufacturing Director 4 Single 9362
## 4 Sales Executive 4 Married 10422
## 5 Research Scientist 4 Single 3760
## 6 Manufacturing Director 1 Divorced 8793
## 7 Research Scientist 3 Married 2127
## 8 Sales Executive 4 Divorced 6694
## 9 Sales Representative 3 Married 2220
## 10 Healthcare Representative 3 Married 5063
## 11 Manager 3 Married 19392
## 12 Human Resources 4 Divorced 2706
## 13 Manufacturing Director 3 Single 10221
## 14 Sales Representative 2 Married 2476
## 15 Human Resources 1 Single 3423
## 16 Sales Executive 3 Married 6932
## 17 Manufacturing Director 1 Married 6725
## 18 Manufacturing Director 3 Married 5258
## 19 Research Scientist 4 Married 2932
## 20 Healthcare Representative 1 Married 5033
## 21 Manufacturing Director 2 Divorced 8847
## 22 Sales Executive 2 Married 8120
## 23 Laboratory Technician 3 Divorced 5679
## 24 Sales Executive 1 Single 5332
## 25 Healthcare Representative 4 Single 6949
## 26 Manager 2 Married 18213
## 27 Sales Executive 2 Married 9924
## 28 Sales Executive 1 Single 8224
## 29 Sales Executive 1 Single 10448
## 30 Research Scientist 4 Married 4258
## 31 Sales Executive 4 Divorced 4668
## 32 Laboratory Technician 2 Married 2028
## 33 Manager 2 Married 16872
## 34 Laboratory Technician 3 Married 2258
## 35 Manufacturing Director 4 Single 9679
## 36 Laboratory Technician 2 Married 2794
## 37 Sales Executive 1 Married 10306
## 38 Sales Executive 1 Divorced 6134
## 39 Manager 2 Single 19717
## 40 Sales Representative 4 Married 2791
## 41 Manager 2 Divorced 16291
## 42 Sales Representative 3 Single 6632
## 43 Laboratory Technician 1 Divorced 2587
## 44 Manager 4 Single 19613
## 45 Research Scientist 3 Married 1223
## 46 Laboratory Technician 4 Single 3673
## 47 Sales Executive 2 Single 6735
## 48 Sales Executive 3 Divorced 8740
## 49 Sales Representative 2 Single 1878
## 50 Research Scientist 2 Divorced 2024
## 51 Research Scientist 1 Single 2619
## 52 Research Director 1 Married 19701
## 53 Research Scientist 4 Married 2011
## 54 Laboratory Technician 2 Married 4447
## 55 Manufacturing Director 4 Single 4424
## 56 Laboratory Technician 1 Divorced 2289
## 57 Research Scientist 3 Divorced 2759
## 58 Laboratory Technician 1 Single 4723
## 59 Research Director 4 Divorced 13603
## 60 Sales Representative 4 Single 1118
## 61 Sales Executive 4 Married 10325
## 62 Healthcare Representative 3 Married 7094
## 63 Sales Representative 3 Married 3067
## 64 Research Scientist 3 Single 1514
## 65 Laboratory Technician 2 Married 2210
## 66 Research Scientist 2 Divorced 3298
## 67 Research Scientist 4 Single 6646
## 68 Laboratory Technician 4 Single 2647
## 69 Research Scientist 1 Married 2194
## 70 Research Scientist 4 Single 2115
## 71 Research Scientist 4 Married 2782
## 72 Sales Executive 1 Single 8463
## 73 Manufacturing Director 3 Married 5916
## 74 Laboratory Technician 4 Married 4766
## 75 Sales Executive 2 Single 8446
## 76 Laboratory Technician 4 Single 4011
## 77 Sales Executive 3 Married 7083
## 78 Manager 1 Single 17567
## 79 Sales Executive 4 Single 8865
## 80 Laboratory Technician 4 Divorced 1129
## 81 Healthcare Representative 2 Married 4777
## 82 Manufacturing Director 3 Married 6883
## 83 Manufacturing Director 3 Married 5321
## 84 Research Scientist 1 Divorced 5974
## 85 Manufacturing Director 2 Single 5410
## 86 Manufacturing Director 4 Single 13726
## 87 Sales Executive 1 Single 4960
## 88 Laboratory Technician 2 Divorced 3743
## 89 Sales Executive 3 Single 8726
## 90 Manager 1 Single 18947
## 91 Laboratory Technician 4 Married 1702
## 92 Sales Executive 1 Married 7336
## 93 Laboratory Technician 3 Single 2090
## 94 Healthcare Representative 3 Single 6142
## 95 Manager 2 Single 19926
## 96 Sales Executive 3 Married 4907
## 97 Manager 2 Married 16606
## 98 Healthcare Representative 4 Divorced 5163
## 99 Laboratory Technician 2 Married 3180
## 100 Laboratory Technician 2 Married 3294
## 101 Laboratory Technician 1 Married 2099
## 102 Sales Executive 4 Divorced 10793
## 103 Sales Executive 3 Married 6538
## 104 Research Scientist 1 Married 2819
## 105 Research Director 2 Single 16598
## 106 Laboratory Technician 4 Married 4420
## 107 Manufacturing Director 3 Married 4319
## 108 Manager 2 Married 19636
## 109 Healthcare Representative 2 Married 8926
## 110 Research Scientist 1 Single 2439
## 111 Research Scientist 3 Divorced 2703
## 112 Manager 4 Married 17099
## 113 Healthcare Representative 2 Single 10445
## 114 Healthcare Representative 1 Divorced 5093
## 115 Sales Executive 1 Married 8966
## 116 Sales Executive 2 Single 7642
## 117 Sales Executive 4 Single 4950
## 118 Laboratory Technician 2 Married 4025
## 119 Research Scientist 3 Divorced 2451
## 120 Healthcare Representative 4 Single 6687
## 121 Research Director 1 Married 11713
## 122 Sales Representative 1 Single 2380
## 123 Sales Executive 1 Divorced 10761
## 124 Sales Executive 4 Single 4028
## 125 Sales Executive 4 Single 4554
## 126 Sales Executive 4 Married 5204
## 127 Research Scientist 1 Single 3919
## 128 Manufacturing Director 4 Married 5906
## 129 Research Scientist 3 Single 4081
## 130 Sales Executive 1 Divorced 13225
## 131 Sales Executive 2 Divorced 4187
## 132 Sales Executive 4 Single 4507
## 133 Healthcare Representative 4 Married 4523
## 134 Manufacturing Director 2 Married 5295
## 135 Laboratory Technician 3 Divorced 5257
## 136 Healthcare Representative 2 Married 4244
## 137 Laboratory Technician 1 Married 2319
## 138 Manufacturing Director 3 Married 10739
## 139 Laboratory Technician 1 Married 2404
## 140 Sales Executive 4 Single 7428
## 141 Manufacturing Director 2 Married 13402
## 142 Research Scientist 3 Divorced 2372
## 143 Manufacturing Director 3 Divorced 10845
## 144 Sales Executive 4 Married 6502
## 145 Healthcare Representative 3 Divorced 6377
## 146 Sales Executive 3 Married 4649
## 147 Research Scientist 2 Married 2756
## 148 Sales Executive 1 Married 6392
## 149 Laboratory Technician 2 Single 3597
## 150 Manufacturing Director 1 Divorced 4877
## 151 Sales Executive 1 Divorced 4233
## 152 Sales Executive 4 Single 5396
## 153 Sales Executive 3 Married 5484
## 154 Healthcare Representative 2 Single 6870
## 155 Laboratory Technician 2 Divorced 2008
## 156 Sales Executive 3 Married 4736
## 157 Sales Executive 2 Married 5677
## 158 Healthcare Representative 4 Divorced 12169
## 159 Manufacturing Director 1 Married 10820
## 160 Research Director 1 Married 13191
## 161 Laboratory Technician 4 Married 5126
## 162 Healthcare Representative 1 Single 8722
## 163 Sales Executive 3 Divorced 7104
## 164 Research Scientist 1 Single 6545
## 165 Sales Executive 2 Married 8020
## 166 Sales Representative 3 Single 2044
## 167 Research Director 2 Married 16413
## 168 Research Director 3 Divorced 16184
## 169 Research Scientist 1 Divorced 5577
## 170 Research Scientist 4 Divorced 2514
## 171 Sales Executive 4 Divorced 5304
## 172 Research Scientist 2 Married 5467
## 173 Healthcare Representative 3 Married 10527
## 174 Sales Executive 3 Divorced 8380
## 175 Manager 3 Divorced 14852
## 176 Research Scientist 2 Single 2070
## 177 Manager 1 Married 19859
## 178 Research Scientist 1 Married 2042
## 179 Sales Executive 4 Single 8998
## 180 Sales Executive 4 Single 8686
## 181 Manufacturing Director 2 Divorced 10274
## 182 Sales Executive 1 Divorced 6893
## 183 Research Scientist 3 Single 4739
## 184 Manufacturing Director 2 Single 8376
## 185 Laboratory Technician 3 Married 3755
## 186 Research Scientist 4 Married 2070
## 187 Manufacturing Director 3 Divorced 5206
## 188 Manager 2 Divorced 15972
## 189 Research Director 2 Divorced 19144
## 190 Sales Executive 3 Married 4221
## 191 Research Scientist 4 Married 5775
## 192 Sales Executive 1 Married 9637
## 193 Manufacturing Director 3 Divorced 4810
## 194 Sales Executive 4 Married 4051
## 195 Research Scientist 4 Single 3904
## 196 Research Scientist 4 Married 2723
## 197 Laboratory Technician 4 Married 2075
## 198 Sales Executive 2 Married 13120
## 199 Healthcare Representative 4 Married 10248
## 200 Laboratory Technician 2 Married 2127
## 201 Sales Executive 2 Single 13194
## 202 Research Scientist 2 Married 6220
## 203 Manufacturing Director 3 Married 6162
## 204 Research Scientist 2 Single 2216
## 205 Sales Representative 2 Married 3931
## 206 Research Scientist 1 Married 2559
## 207 Sales Executive 3 Single 5346
## 208 Healthcare Representative 1 Married 6673
## 209 Research Scientist 1 Divorced 3204
## 210 Sales Executive 3 Divorced 8189
## 211 Manufacturing Director 2 Married 13570
## 212 Manager 3 Married 18303
## 213 Research Scientist 4 Single 4680
## 214 Manufacturing Director 4 Married 6062
## 215 Research Scientist 4 Single 2045
## 216 Research Scientist 3 Divorced 2345
## 217 Healthcare Representative 3 Married 9824
## 218 Manager 4 Divorced 17174
## 219 Research Scientist 3 Single 2632
## 220 Research Scientist 4 Single 2875
## 221 Sales Executive 4 Single 6274
## 222 Sales Executive 1 Married 4286
## 223 Sales Executive 4 Divorced 5368
## 224 Research Scientist 3 Divorced 1563
## 225 Research Scientist 4 Divorced 4771
## 226 Laboratory Technician 2 Married 3748
## 227 Laboratory Technician 4 Divorced 1951
## 228 Research Scientist 2 Divorced 2328
## 229 Sales Executive 3 Married 4999
## 230 Healthcare Representative 3 Married 13966
## 231 Manufacturing Director 4 Divorced 5770
## 232 Sales Representative 4 Married 2014
## 233 Sales Executive 3 Married 12936
## 234 Sales Executive 1 Married 5940
## 235 Manager 4 Married 16959
## 236 Sales Executive 3 Married 10609
## 237 Manager 3 Married 18880
## 238 Research Scientist 4 Married 6322
## 239 Human Resources 2 Married 2187
## 240 Research Director 1 Divorced 13269
## 241 Manufacturing Director 1 Married 7406
## 242 Manager 2 Single 18061
## 243 Research Scientist 2 Married 2703
## 244 Sales Representative 1 Married 4400
## 245 Manufacturing Director 4 Married 5056
## 246 Laboratory Technician 4 Divorced 2532
## 247 Manufacturing Director 4 Single 7143
## 248 Sales Representative 2 Married 2269
## 249 Research Scientist 4 Divorced 5467
## 250 Manager 1 Married 16595
## 251 Laboratory Technician 3 Divorced 2008
## 252 Sales Executive 4 Divorced 5079
## 253 Research Scientist 3 Single 2274
## 254 Human Resources 1 Married 2956
## 255 Research Director 2 Divorced 13757
## 256 Research Scientist 3 Single 2438
## 257 Sales Representative 2 Divorced 2789
## 258 Sales Executive 1 Divorced 4779
## 259 Sales Executive 4 Married 9713
## 260 Laboratory Technician 3 Divorced 3977
## 261 Sales Representative 4 Single 2785
## 262 Research Scientist 1 Single 2362
## 263 Laboratory Technician 4 Married 2436
## 264 Sales Representative 4 Married 2157
## 265 Laboratory Technician 3 Married 2774
## 266 Laboratory Technician 2 Married 2426
## 267 Research Director 1 Divorced 17007
## 268 Laboratory Technician 2 Single 1393
## 269 Healthcare Representative 3 Divorced 5968
## 270 Manufacturing Director 1 Married 9957
## 271 Sales Executive 3 Married 5154
## 272 Research Scientist 2 Divorced 5433
## 273 Sales Representative 3 Married 3540
## 274 Sales Executive 1 Married 5647
## 275 Research Director 2 Single 18722
## 276 Manager 1 Divorced 19943
## 277 Research Scientist 2 Married 2244
## 278 Laboratory Technician 4 Single 2455
## 279 Sales Executive 3 Single 5744
## 280 Healthcare Representative 3 Married 4035
## 281 Sales Executive 4 Married 7847
## 282 Laboratory Technician 1 Single 4721
## 283 Healthcare Representative 4 Divorced 6513
## 284 Sales Executive 4 Divorced 7547
## 285 Human Resources 3 Married 2844
## 286 Laboratory Technician 3 Married 5207
## 287 Research Scientist 2 Single 2472
## 288 Laboratory Technician 4 Divorced 2661
## 289 Sales Executive 4 Married 9738
## 290 Sales Representative 4 Married 2572
## 291 Laboratory Technician 4 Divorced 2270
## 292 Laboratory Technician 2 Married 5674
## 293 Research Scientist 2 Single 2279
## 294 Research Director 2 Married 11957
## 295 Manager 4 Single 16437
## 296 Laboratory Technician 3 Married 2660
## 297 Manufacturing Director 3 Married 9547
## 298 Laboratory Technician 3 Single 6074
## 299 Research Scientist 1 Single 2321
## 300 Research Scientist 4 Married 3464
## 301 Sales Executive 2 Married 6524
## 302 Sales Executive 1 Married 9069
## 303 Research Scientist 2 Divorced 3537
## 304 Research Scientist 3 Single 5098
## 305 Research Scientist 3 Single 2479
## 306 Laboratory Technician 4 Married 3162
## 307 Laboratory Technician 4 Married 2380
## 308 Research Scientist 4 Married 2979
## 309 Healthcare Representative 2 Married 6385
## 310 Sales Executive 2 Married 4851
## 311 Research Scientist 4 Married 5484
## 312 Manufacturing Director 3 Single 13237
## 313 Research Scientist 3 Single 4084
## 314 Manufacturing Director 3 Married 6132
## 315 Sales Executive 1 Single 5405
## 316 Sales Executive 4 Single 4163
## 317 Sales Representative 3 Married 2231
## 318 Healthcare Representative 3 Single 4617
## 319 Sales Executive 4 Married 6120
## 320 Research Scientist 4 Single 2994
## 321 Laboratory Technician 2 Married 2332
## 322 Research Scientist 4 Married 2691
## 323 Research Scientist 4 Divorced 3761
## 324 Research Scientist 1 Divorced 4615
## 325 Manufacturing Director 4 Married 12742
## 326 Research Scientist 3 Single 2318
## 327 Research Director 4 Divorced 19049
## 328 Research Scientist 1 Divorced 5410
## 329 Research Scientist 2 Divorced 2133
## 330 Manager 1 Married 16799
## 331 Manager 3 Single 15379
## 332 Sales Executive 4 Married 10400
## 333 Research Scientist 2 Divorced 2342
## 334 Manufacturing Director 1 Married 7412
## 335 Manager 4 Married 18844
## 336 Research Scientist 3 Single 4508
## 337 Sales Executive 4 Divorced 4968
## 338 Healthcare Representative 4 Single 7756
## 339 Sales Executive 3 Single 4728
## 340 Laboratory Technician 1 Divorced 2341
## 341 Research Scientist 1 Married 3419
## 342 Laboratory Technician 4 Married 3867
## 343 Healthcare Representative 4 Divorced 7119
## 344 Research Scientist 3 Divorced 2083
## 345 Sales Executive 1 Divorced 4115
## 346 Sales Executive 1 Single 13341
## 347 Manufacturing Director 3 Single 4033
## 348 Manufacturing Director 2 Divorced 6397
## 349 Research Scientist 3 Single 2290
## 350 Healthcare Representative 4 Married 11103
## 351 Research Director 1 Married 13348
## 352 Sales Executive 4 Married 6929
## 353 Research Scientist 4 Married 4422
## 354 Healthcare Representative 4 Divorced 4069
## 355 Sales Executive 3 Divorced 10447
## 356 Sales Executive 1 Single 4759
## 357 Research Scientist 2 Married 2368
## 358 Research Scientist 2 Married 2546
## 359 Manufacturing Director 4 Married 6162
## 360 Laboratory Technician 4 Married 3210
## 361 Manager 3 Married 19999
## 362 Sales Representative 1 Single 1091
## 363 Manager 4 Married 19845
## 364 Research Director 3 Divorced 19436
## 365 Manager 3 Married 19187
## 366 Sales Executive 1 Married 13212
## 367 Laboratory Technician 2 Divorced 4444
## 368 Sales Executive 1 Married 5473
## 369 Research Scientist 3 Married 2073
## 370 Research Scientist 4 Single 5055
## 371 Manufacturing Director 1 Married 4148
## 372 Sales Executive 1 Married 8412
## 373 Laboratory Technician 1 Divorced 5210
## 374 Research Scientist 2 Married 3936
## 375 Sales Representative 1 Single 2728
## 376 Research Director 4 Single 14411
## 377 Laboratory Technician 1 Single 2743
## 378 Sales Executive 4 Divorced 5087
## 379 Research Scientist 4 Married 2168
## 380 Research Scientist 3 Married 2132
## 381 Research Director 3 Married 18300
## 382 Human Resources 3 Married 2942
## 383 Sales Executive 1 Divorced 5486
## 384 Sales Representative 1 Divorced 2322
## 385 Research Scientist 3 Married 2461
## 386 Research Director 1 Married 13582
## 387 Sales Executive 3 Single 8789
## 388 Manufacturing Director 4 Divorced 4262
## 389 Sales Representative 4 Single 4502
## 390 Sales Representative 2 Single 2174
## 391 Sales Executive 1 Married 6500
## 392 Sales Executive 4 Married 4157
## 393 Research Scientist 1 Divorced 3065
## 394 Sales Executive 1 Married 10266
## 395 Research Scientist 4 Single 2515
## 396 Research Scientist 4 Divorced 2695
## 397 Research Director 3 Married 17861
## 398 Human Resources 3 Married 2742
## 399 Healthcare Representative 3 Divorced 6306
## 400 Manufacturing Director 3 Single 10209
## 401 Manufacturing Director 4 Single 6091
## 402 Manufacturing Director 3 Divorced 5265
## 403 Laboratory Technician 3 Single 2105
## 404 Healthcare Representative 1 Married 8008
## 405 Research Scientist 1 Single 2559
## 406 Research Director 4 Divorced 16627
## 407 Sales Executive 4 Married 5468
## 408 Laboratory Technician 3 Divorced 2741
## 409 Manager 4 Married 15427
## 410 Research Director 1 Married 17159
## 411 Human Resources 1 Married 2342
## 412 Sales Executive 3 Single 9241
## 413 Research Scientist 2 Married 3022
## 414 Sales Executive 4 Single 4648
## 415 Sales Representative 3 Divorced 2351
## 416 Manufacturing Director 4 Divorced 5762
## 417 Laboratory Technician 4 Single 2564
## 418 Laboratory Technician 4 Married 3688
## 419 Manufacturing Director 4 Married 6474
## 420 Research Director 3 Married 11935
## 421 Manufacturing Director 2 Married 4325
## 422 Research Scientist 3 Married 4449
## 423 Sales Executive 3 Married 6172
## 424 Laboratory Technician 4 Single 1611
## 425 Sales Executive 1 Married 4724
## 426 Sales Executive 4 Divorced 10798
## 427 Research Scientist 3 Divorced 1274
## 428 Research Scientist 3 Single 3230
## 429 Laboratory Technician 3 Single 3730
## 430 Manufacturing Director 1 Married 5957
## 431 Sales Executive 3 Single 4478
## 432 Research Scientist 3 Divorced 3544
## 433 Laboratory Technician 1 Single 4284
## 434 Research Scientist 1 Divorced 2109
## 435 Sales Executive 2 Divorced 9705
## 436 Sales Executive 2 Married 6214
## 437 Research Scientist 3 Single 4382
## 438 Laboratory Technician 1 Single 2867
## 439 Sales Representative 3 Married 2683
## 440 Healthcare Representative 4 Single 7625
## 441 Research Scientist 3 Single 4998
## 442 Laboratory Technician 3 Married 2974
## 443 Laboratory Technician 3 Single 3485
## 444 Human Resources 4 Divorced 3195
## 445 Research Director 4 Divorced 19328
## 446 Research Scientist 4 Married 3420
## 447 Research Scientist 4 Married 4735
## 448 Healthcare Representative 1 Married 5538
## 449 Laboratory Technician 4 Single 2406
## 450 Sales Executive 1 Married 4385
## 451 Healthcare Representative 4 Married 4878
## 452 Research Scientist 2 Single 3420
## 453 Sales Executive 4 Single 5813
## 454 Sales Executive 3 Single 5487
## 455 Manager 1 Married 15402
## 456 Manager 2 Single 19833
## 457 Sales Executive 4 Married 5476
## 458 Sales Executive 4 Single 5441
## 459 Research Scientist 1 Married 2066
## 460 Laboratory Technician 4 Single 5810
## 461 Laboratory Technician 3 Married 2093
## 462 Laboratory Technician 2 Single 2013
## 463 Sales Executive 4 Single 9208
## 464 Manufacturing Director 4 Single 5238
## 465 Research Scientist 3 Married 2437
## 466 Research Scientist 4 Single 3944
## 467 Sales Representative 4 Single 2644
## 468 Laboratory Technician 4 Married 3038
## 469 Sales Executive 1 Single 4969
## 470 Manufacturing Director 1 Divorced 4450
## 471 Research Scientist 2 Married 2226
## 472 Research Scientist 4 Single 2439
## 473 Research Director 1 Married 13245
## 474 Research Scientist 4 Single 3452
## 475 Laboratory Technician 3 Divorced 2207
## 476 Sales Executive 4 Single 5772
## 477 Sales Executive 3 Divorced 6334
## 478 Sales Executive 3 Divorced 4306
## 479 Laboratory Technician 1 Married 2950
## 480 Research Director 4 Married 13744
## 481 Healthcare Representative 1 Married 5373
## 482 Research Scientist 4 Married 2356
## 483 Research Scientist 4 Married 5747
## 484 Research Scientist 1 Divorced 4257
## 485 Healthcare Representative 4 Married 10312
## 486 Sales Executive 4 Single 5993
## 487 Sales Representative 4 Single 1081
## 488 Research Scientist 3 Divorced 2911
## 489 Laboratory Technician 3 Single 5381
## 490 Healthcare Representative 3 Single 6142
## 491 Research Director 1 Single 18665
## 492 Research Director 1 Married 16880
## 493 Sales Executive 3 Single 5869
## 494 Healthcare Representative 2 Single 8606
## 495 Sales Executive 3 Married 5673
## 496 Manager 3 Married 16307
## 497 Research Scientist 4 Married 2654
## 498 Research Scientist 4 Married 2326
## 499 Healthcare Representative 3 Married 5237
## 500 Sales Executive 3 Married 5736
## 501 Manufacturing Director 1 Married 10008
## 502 Laboratory Technician 3 Single 2028
## 503 Sales Representative 3 Married 2655
## 504 Manufacturing Director 1 Divorced 9980
## 505 Research Director 3 Married 17169
## 506 Research Scientist 2 Married 5878
## 507 Sales Representative 3 Single 2851
## 508 Sales Executive 2 Married 10596
## 509 Sales Representative 4 Divorced 2793
## 510 Research Director 3 Married 19545
## 511 Sales Executive 4 Married 5343
## 512 Healthcare Representative 3 Married 10920
## 513 Research Scientist 3 Married 3433
## 514 Research Director 4 Single 13458
## 515 Sales Representative 4 Single 2610
## 516 Manufacturing Director 2 Divorced 5482
## 517 Sales Representative 2 Married 2413
## 518 Laboratory Technician 2 Divorced 2766
## 519 Laboratory Technician 4 Married 4627
## 520 Laboratory Technician 4 Single 2587
## 521 Research Scientist 4 Single 2553
## 522 Laboratory Technician 2 Married 2408
## 523 Research Scientist 1 Divorced 9724
## 524 Research Director 3 Divorced 19502
## 525 Research Scientist 4 Married 2177
## 526 Sales Executive 2 Married 7525
## 527 Sales Executive 1 Divorced 5006
## 528 Healthcare Representative 1 Married 6833
## 529 Research Scientist 3 Single 2859
## 530 Research Scientist 2 Married 4963
## 531 Healthcare Representative 3 Married 8823
## 532 Sales Executive 3 Single 6815
## 533 Research Scientist 3 Married 2700
## 534 Healthcare Representative 4 Divorced 6667
## 535 Laboratory Technician 1 Married 2119
## 536 Research Scientist 4 Divorced 2089
## 537 Sales Executive 2 Single 7351
## 538 Human Resources 3 Divorced 2696
## 539 Sales Representative 2 Single 3202
## 540 Sales Executive 1 Single 5155
## 541 Laboratory Technician 3 Divorced 3491
## 542 Research Scientist 1 Married 3143
## 543 Research Scientist 3 Divorced 2566
## 544 Manufacturing Director 3 Married 6553
## 545 Research Scientist 1 Single 4381
## 546 Research Scientist 4 Married 2929
## 547 Laboratory Technician 2 Married 7403
## 548 Laboratory Technician 3 Single 5094
## 549 Research Director 2 Married 12061
## 550 Human Resources 2 Single 2177
## 551 Manager 3 Married 19189
## 552 Human Resources 4 Divorced 4936
## 553 Human Resources 4 Single 3886
## 554 Research Scientist 3 Married 2259
## 555 Healthcare Representative 4 Married 4876
## 556 Sales Executive 3 Married 9602
## 557 Laboratory Technician 3 Single 3780
## 558 Research Scientist 4 Married 3622
## 559 Manufacturing Director 2 Married 4434
## 560 Sales Executive 3 Married 5296
## 561 Laboratory Technician 2 Single 2088
## 562 Research Director 3 Married 15787
## 563 Laboratory Technician 2 Married 2811
## 564 Research Director 3 Married 11031
## 565 Laboratory Technician 3 Married 3833
## 566 Research Scientist 4 Single 2436
## 567 Laboratory Technician 1 Single 2176
## 568 Sales Executive 1 Married 9714
## 569 Sales Executive 3 Single 6244
## 570 Manufacturing Director 3 Married 13973
## 571 Sales Executive 2 Married 4393
## 572 Research Scientist 4 Single 2693
## 573 Sales Executive 4 Married 6834
## 574 Sales Executive 3 Married 6799
## 575 Sales Executive 2 Married 6272
## 576 Manufacturing Director 3 Divorced 5993
## 577 Sales Representative 1 Single 2858
## 578 Laboratory Technician 3 Single 3162
## 579 Manufacturing Director 3 Single 5042
## 580 Healthcare Representative 4 Divorced 6623
## 581 Laboratory Technician 4 Married 3669
## 582 Research Director 4 Single 15992
## 583 Healthcare Representative 4 Married 5811
## 584 Sales Executive 2 Married 4779
## 585 Healthcare Representative 4 Married 6465
## 586 Laboratory Technician 4 Married 2741
## 587 Research Scientist 4 Divorced 5329
## 588 Sales Representative 1 Single 3407
## 589 Laboratory Technician 3 Single 3629
## 590 Laboratory Technician 1 Married 4014
## 591 Research Scientist 3 Married 2814
## 592 Sales Executive 2 Single 4599
## 593 Sales Representative 3 Married 2909
## 594 Laboratory Technician 1 Married 3211
## 595 Manufacturing Director 3 Married 10435
## 596 Sales Executive 1 Divorced 4037
## 597 Manufacturing Director 2 Married 10903
## 598 Laboratory Technician 3 Married 3448
## 599 Manufacturing Director 2 Married 6142
## 600 Research Scientist 4 Married 2293
## 601 Sales Representative 2 Married 2033
## 602 Research Scientist 1 Married 4087
## 603 Research Director 1 Married 11416
## 604 Laboratory Technician 4 Married 3131
## 605 Sales Representative 2 Single 2760
## 606 Research Director 3 Married 14814
## 607 Sales Executive 3 Single 5473
## 608 Sales Executive 1 Divorced 5605
## 609 Laboratory Technician 1 Single 3578
## 610 Sales Representative 4 Single 2342
## 611 Laboratory Technician 4 Married 5363
## 612 Healthcare Representative 3 Single 6811
## 613 Laboratory Technician 1 Married 2707
## 614 Sales Representative 2 Single 2121
## 615 Sales Executive 3 Divorced 7264
## 616 Laboratory Technician 4 Married 3986
## 617 Laboratory Technician 2 Married 3838
## 618 Sales Executive 1 Divorced 5454
## 619 Healthcare Representative 1 Married 9991
## 620 Laboratory Technician 3 Married 1281
## 621 Laboratory Technician 4 Single 2926
## 622 Manufacturing Director 3 Divorced 5067
## 623 Research Scientist 4 Single 3280
## 624 Human Resources 4 Single 8837
## 625 Laboratory Technician 1 Single 2561
## 626 Research Scientist 3 Divorced 2517
## 627 Sales Executive 3 Married 4162
## 628 Research Director 4 Divorced 11510
## 629 Manufacturing Director 2 Married 10976
## 630 Healthcare Representative 2 Single 8621
## 631 Research Scientist 4 Married 2662
## 632 Sales Executive 4 Single 9888
## 633 Sales Executive 4 Single 6861
## 634 Laboratory Technician 4 Divorced 2835
## 635 Healthcare Representative 1 Married 9985
## 636 Laboratory Technician 4 Married 2376
## 637 Manager 1 Married 17665
## 638 Sales Executive 3 Divorced 8628
## 639 Research Scientist 4 Married 2725
## 640 Sales Representative 1 Divorced 3041
## 641 Laboratory Technician 3 Divorced 2693
## 642 Healthcare Representative 1 Divorced 4448
## 643 Manager 1 Single 16756
## 644 Research Scientist 1 Married 2307
## 645 Research Scientist 1 Divorced 2107
## 646 Sales Executive 4 Married 10855
## 647 Laboratory Technician 3 Single 1904
## 648 Laboratory Technician 3 Married 2305
## 649 Sales Executive 1 Single 4312
## 650 Laboratory Technician 1 Single 2166
## 651 Laboratory Technician 1 Single 2450
## 652 Sales Executive 4 Divorced 5220
## 653 Research Director 3 Single 13499
## 654 Manager 3 Married 12504
## 655 Laboratory Technician 3 Single 3894
## 656 Healthcare Representative 1 Married 4741
## 657 Research Director 2 Married 12490
## 658 Manager 4 Divorced 16032
## 659 Manufacturing Director 2 Single 6032
## 660 Manufacturing Director 2 Single 6499
## 661 Laboratory Technician 4 Married 5309
## 662 Research Scientist 3 Divorced 2768
## 663 Sales Executive 4 Divorced 10368
## 664 Laboratory Technician 4 Divorced 3917
## 665 Sales Executive 3 Single 4568
## 666 Healthcare Representative 3 Single 6294
## 667 Sales Executive 4 Married 7918
## 668 Laboratory Technician 4 Divorced 3408
## 669 Laboratory Technician 3 Married 4883
## 670 Research Director 4 Married 17779
## 671 Research Director 3 Single 13664
## 672 Sales Executive 4 Divorced 5505
## 673 Sales Executive 1 Single 4898
## 674 Research Scientist 2 Divorced 2022
## 675 Research Scientist 3 Married 3517
## 676 Manager 2 Married 18789
## 677 Manufacturing Director 2 Married 5228
## 678 Laboratory Technician 3 Married 6323
## 679 Manufacturing Director 2 Divorced 5131
## 680 Sales Representative 3 Married 2329
## 681 Sales Executive 1 Married 4256
## 682 Laboratory Technician 4 Married 2258
## 683 Healthcare Representative 3 Married 5347
## 684 Healthcare Representative 4 Divorced 9439
## 685 Research Scientist 4 Married 2713
## 686 Manufacturing Director 2 Divorced 10648
## 687 Healthcare Representative 4 Single 7553
## 688 Research Scientist 2 Married 2622
## 689 Laboratory Technician 4 Single 1102
## 690 Human Resources 2 Divorced 2592
## 691 Human Resources 3 Married 6077
## 692 Manager 2 Married 11849
## 693 Healthcare Representative 4 Single 6781
## 694 Research Scientist 4 Single 2285
## 695 Sales Executive 4 Divorced 9525
## 696 Sales Representative 4 Single 3294
## 697 Manager 4 Married 15202
## 698 Laboratory Technician 2 Single 5914
## 699 Sales Representative 4 Single 1569
## 700 Research Director 2 Married 19081
## 701 Human Resources 2 Married 2804
## 702 Sales Executive 3 Married 5714
## 703 Sales Executive 4 Married 10377
## 704 Human Resources 2 Married 2148
## 705 Human Resources 3 Married 2267
## 706 Sales Executive 4 Single 6230
## 707 Research Scientist 4 Married 6854
## 708 Human Resources 2 Single 2109
## 709 Laboratory Technician 3 Married 3702
## 710 Manager 1 Divorced 17924
## 711 Manager 1 Married 11916
## 712 Manager 4 Divorced 14118
## 713 Laboratory Technician 2 Single 2559
## 714 Sales Executive 4 Married 9699
## 715 Sales Executive 1 Single 7587
## 716 Human Resources 3 Married 1555
## 717 Sales Executive 3 Married 6578
## 718 Research Scientist 3 Single 3660
## 719 Sales Executive 4 Single 4581
## 720 Manufacturing Director 2 Divorced 7655
## 721 Manufacturing Director 3 Married 9434
## 722 Manufacturing Director 3 Married 5768
## 723 Research Scientist 1 Divorced 2996
## 724 Manufacturing Director 4 Single 8858
## 725 Laboratory Technician 3 Single 3968
## 726 Manufacturing Director 3 Married 4898
## 727 Sales Representative 4 Married 2973
## 728 Research Scientist 3 Divorced 3815
## 729 Laboratory Technician 4 Single 2340
## 730 Laboratory Technician 4 Married 2523
## 731 Manufacturing Director 2 Divorced 4765
## 732 Sales Executive 3 Married 5238
## 733 Human Resources 2 Married 2863
## 734 Sales Executive 3 Married 4707
## 735 Research Scientist 4 Single 2972
## 736 Sales Executive 3 Single 6500
## 737 Sales Executive 4 Married 12031
## 738 Sales Executive 4 Single 5171
## 739 Sales Executive 3 Married 4601
## 740 Laboratory Technician 4 Single 3681
## 741 Sales Executive 3 Married 8639
## 742 Manager 4 Divorced 11557
## 743 Research Scientist 4 Married 4285
## 744 Laboratory Technician 2 Single 3295
## 745 Sales Executive 3 Divorced 4907
## 746 Laboratory Technician 1 Divorced 2296
## 747 Human Resources 1 Divorced 2335
## 748 Healthcare Representative 1 Single 5343
## 749 Laboratory Technician 1 Divorced 3907
## 750 Research Scientist 4 Single 2500
## 751 Sales Representative 4 Single 2323
## 752 Sales Representative 2 Single 2302
## 753 Healthcare Representative 3 Married 11245
## 754 Sales Executive 2 Married 7314
## 755 Research Director 3 Married 13549
## 756 Laboratory Technician 3 Single 3708
## 757 Healthcare Representative 4 Married 4014
## 758 Healthcare Representative 3 Married 6651
## 759 Laboratory Technician 3 Married 3306
## 760 Manager 2 Single 18824
## 761 Research Scientist 1 Single 2404
## 762 Manager 4 Married 16752
## 763 Sales Executive 2 Single 6151
## 764 Sales Executive 3 Married 6347
## 765 Human Resources 4 Married 3737
## 766 Laboratory Technician 1 Single 5769
## 767 Research Scientist 3 Married 3376
## 768 Sales Executive 1 Divorced 10932
## 769 Manufacturing Director 4 Divorced 7379
## 770 Sales Executive 3 Married 5593
## 771 Sales Executive 4 Single 4682
## 772 Sales Executive 1 Divorced 10453
## 773 Healthcare Representative 3 Single 10938
## 774 Research Scientist 3 Married 3388
## 775 Healthcare Representative 4 Married 10124
## 776 Research Scientist 3 Single 3505
## 777 Human Resources 3 Divorced 2064
## 778 Sales Representative 1 Divorced 2827
## 779 Laboratory Technician 4 Single 2570
## 780 Research Scientist 4 Married 4787
## 781 Sales Representative 2 Single 3140
## 782 Healthcare Representative 3 Single 4553
## 783 Human Resources 2 Divorced 2277
## 784 Sales Executive 3 Married 4539
## 785 Sales Executive 2 Married 4978
## 786 Research Director 2 Single 16422
## 787 Manager 3 Married 13116
## 788 Research Scientist 2 Married 4941
## 789 Research Director 1 Married 19038
## 790 Research Scientist 2 Single 2096
## 791 Laboratory Technician 1 Married 4789
## 792 Research Scientist 2 Single 2311
## 793 Manufacturing Director 3 Married 7756
## 794 Healthcare Representative 3 Divorced 10096
## 795 Manufacturing Director 4 Divorced 6804
## 796 Research Scientist 1 Single 3348
## 797 Healthcare Representative 4 Married 13496
## 798 Laboratory Technician 1 Married 2398
## 799 Research Scientist 2 Single 1859
## 800 Healthcare Representative 1 Divorced 6842
## 801 Sales Executive 1 Married 5376
## 802 Sales Executive 4 Single 6582
## 803 Manager 1 Married 17068
## 804 Sales Executive 1 Single 9582
## 805 Laboratory Technician 2 Married 2042
## 806 Healthcare Representative 1 Married 8321
## 807 Sales Executive 3 Married 6232
## 808 Research Scientist 4 Married 2323
## 809 Research Scientist 4 Married 2862
## 810 Research Scientist 2 Married 3058
## 811 Laboratory Technician 1 Divorced 3072
## 812 Laboratory Technician 4 Married 3229
## 813 Sales Executive 3 Divorced 4260
## 814 Manager 3 Married 19658
## 815 Sales Representative 2 Married 2899
## 816 Research Scientist 4 Married 2781
## 817 Manufacturing Director 4 Single 6877
## 818 Research Director 3 Married 11691
## 819 Laboratory Technician 4 Single 2720
## 820 Sales Executive 3 Single 9854
## 821 Research Scientist 4 Married 3312
## 822 Sales Executive 4 Divorced 6931
## 823 Sales Executive 3 Married 6712
## 824 Laboratory Technician 3 Married 2610
## 825 Manufacturing Director 3 Married 4663
## 826 Research Director 4 Divorced 19627
## 827 Sales Executive 3 Married 8161
## 828 Sales Executive 1 Single 4538
## 829 Laboratory Technician 2 Married 2468
## 830 Manager 2 Married 18200
## 831 Laboratory Technician 1 Married 3633
## 832 Sales Representative 3 Single 1675
## 833 Laboratory Technician 1 Married 3196
## 834 Research Scientist 1 Single 2552
## 835 Healthcare Representative 2 Divorced 13577
## 836 Sales Executive 2 Divorced 8834
## 837 Research Scientist 3 Married 2996
## 838 Sales Executive 4 Single 5337
## 839 Manufacturing Director 2 Divorced 10333
## 840 Research Director 2 Married 19665
## 841 Laboratory Technician 3 Single 1420
## 842 Human Resources 1 Single 7988
## 843 Manufacturing Director 4 Married 13826
## 844 Healthcare Representative 4 Divorced 8500
## 845 Sales Executive 4 Single 6029
## 846 Laboratory Technician 1 Divorced 4558
## 847 Laboratory Technician 2 Single 1483
## 848 Healthcare Representative 4 Divorced 9613
## 849 Sales Executive 3 Married 6380
## 850 Laboratory Technician 4 Married 2544
## 851 Sales Executive 3 Married 4559
## 852 Laboratory Technician 3 Single 2206
## 853 Laboratory Technician 3 Single 4193
## 854 Healthcare Representative 1 Single 5661
## 855 Manufacturing Director 2 Married 4788
## 856 Sales Representative 3 Married 2404
## 857 Research Scientist 1 Single 2657
## 858 Manufacturing Director 3 Married 8943
## 859 Laboratory Technician 1 Married 2238
## 860 Healthcare Representative 4 Married 7978
## 861 Laboratory Technician 3 Single 2838
## 862 Sales Executive 4 Single 10231
## 863 Sales Executive 4 Single 5304
## 864 Sales Executive 3 Divorced 13770
## 865 Manufacturing Director 4 Married 9380
## 866 Manufacturing Director 4 Single 7898
## 867 Sales Executive 4 Married 4465
## 868 Sales Executive 3 Married 4591
## 869 Research Scientist 3 Married 4477
## 870 Laboratory Technician 2 Single 4425
## MonthlyRate NumCompaniesWorked Over18 OverTime PercentSalaryHike
## 1 9250 2 Y No 11
## 2 17544 1 Y No 14
## 3 19944 2 Y No 11
## 4 24032 1 Y No 19
## 5 17218 1 Y Yes 13
## 6 4809 1 Y No 21
## 7 5561 2 Y Yes 12
## 8 24223 2 Y Yes 14
## 9 18410 1 Y Yes 19
## 10 15332 1 Y No 14
## 11 22539 7 Y No 13
## 12 10494 1 Y No 15
## 13 18869 3 Y No 21
## 14 17434 1 Y No 18
## 15 22957 6 Y No 12
## 16 24406 1 Y No 13
## 17 13554 1 Y No 12
## 18 16044 2 Y No 14
## 19 5586 0 Y Yes 14
## 20 9364 2 Y No 15
## 21 13934 2 Y Yes 11
## 22 18597 3 Y No 12
## 23 19627 3 Y Yes 13
## 24 21602 7 Y No 13
## 25 12291 0 Y No 14
## 26 8751 7 Y No 11
## 27 12355 0 Y No 11
## 28 18385 0 Y Yes 17
## 29 5843 6 Y Yes 13
## 30 26589 0 Y No 18
## 31 22812 0 Y No 17
## 32 13637 1 Y No 18
## 33 14977 3 Y Yes 12
## 34 16340 6 Y No 12
## 35 10138 8 Y No 24
## 36 26062 1 Y No 20
## 37 21530 9 Y No 17
## 38 8658 5 Y Yes 13
## 39 4022 6 Y No 14
## 40 21981 0 Y No 12
## 41 22577 4 Y No 22
## 42 12388 0 Y No 13
## 43 24941 4 Y Yes 16
## 44 26362 8 Y No 22
## 45 16901 1 Y No 22
## 46 16458 1 Y No 13
## 47 12147 6 Y No 15
## 48 5569 0 Y Yes 14
## 49 8059 1 Y Yes 14
## 50 5970 6 Y No 18
## 51 14561 3 Y No 17
## 52 22456 3 Y Yes 21
## 53 19982 1 Y No 13
## 54 23163 1 Y No 12
## 55 20682 1 Y No 23
## 56 20520 1 Y No 20
## 57 20366 6 Y Yes 12
## 58 16213 1 Y Yes 18
## 59 11677 2 Y Yes 18
## 60 8040 1 Y Yes 14
## 61 5518 1 Y Yes 11
## 62 5747 3 Y No 12
## 63 6393 0 Y No 19
## 64 8018 1 Y No 16
## 65 3372 1 Y No 13
## 66 15053 0 Y Yes 12
## 67 19368 1 Y No 13
## 68 13672 1 Y No 13
## 69 5868 4 Y No 13
## 70 15881 1 Y No 12
## 71 21412 3 Y No 22
## 72 23490 0 Y No 18
## 73 15497 3 Y Yes 13
## 74 9051 3 Y Yes 11
## 75 21534 9 Y Yes 19
## 76 10781 1 Y No 23
## 77 12288 1 Y Yes 14
## 78 3156 1 Y No 15
## 79 16840 6 Y No 12
## 80 17536 1 Y Yes 11
## 81 14382 5 Y No 15
## 82 5151 2 Y No 16
## 83 14284 2 Y No 11
## 84 17001 4 Y Yes 13
## 85 2323 9 Y Yes 11
## 86 21829 3 Y Yes 13
## 87 11825 2 Y No 12
## 88 10074 1 Y Yes 24
## 89 2975 1 Y No 15
## 90 22822 3 Y No 12
## 91 12106 1 Y Yes 23
## 92 11162 1 Y No 13
## 93 2396 6 Y Yes 15
## 94 4223 3 Y Yes 16
## 95 17053 3 Y No 15
## 96 24532 1 Y No 25
## 97 11380 8 Y No 12
## 98 15850 5 Y No 14
## 99 4668 0 Y No 13
## 100 3708 5 Y No 17
## 101 7679 0 Y No 14
## 102 8386 1 Y No 18
## 103 12740 9 Y No 15
## 104 8544 2 Y No 16
## 105 19764 4 Y No 12
## 106 13421 1 Y No 22
## 107 26283 1 Y No 13
## 108 25811 4 Y Yes 18
## 109 10842 4 Y No 22
## 110 11288 1 Y No 14
## 111 22088 1 Y Yes 14
## 112 13829 2 Y No 15
## 113 15322 7 Y No 19
## 114 4761 2 Y No 11
## 115 21026 3 Y Yes 15
## 116 4814 1 Y Yes 13
## 117 20623 0 Y No 14
## 118 23679 4 Y Yes 13
## 119 4609 4 Y No 12
## 120 6163 1 Y No 11
## 121 20335 9 Y No 14
## 122 25479 1 Y Yes 11
## 123 19239 4 Y Yes 12
## 124 7791 0 Y No 20
## 125 20260 1 Y No 18
## 126 13586 1 Y Yes 11
## 127 4681 1 Y Yes 22
## 128 23888 0 Y No 13
## 129 20003 1 Y Yes 14
## 130 7739 2 Y No 12
## 131 3356 1 Y Yes 13
## 132 8191 3 Y No 12
## 133 4386 0 Y No 11
## 134 7693 4 Y No 21
## 135 6227 1 Y No 11
## 136 9931 1 Y No 24
## 137 6689 1 Y Yes 11
## 138 13943 8 Y No 11
## 139 4303 7 Y Yes 21
## 140 14506 2 Y No 12
## 141 18235 4 Y Yes 12
## 142 26076 1 Y No 12
## 143 24208 6 Y No 13
## 144 22825 4 Y No 14
## 145 13888 5 Y No 20
## 146 16928 1 Y No 14
## 147 4673 1 Y No 13
## 148 10589 2 Y No 13
## 149 6409 8 Y No 22
## 150 20460 0 Y No 21
## 151 11512 2 Y No 17
## 152 21703 1 Y No 12
## 153 16985 1 Y No 14
## 154 15530 3 Y No 12
## 155 6896 1 Y No 14
## 156 6069 7 Y Yes 12
## 157 4258 3 Y No 14
## 158 13547 7 Y No 11
## 159 11535 8 Y No 11
## 160 23281 3 Y Yes 17
## 161 15998 1 Y Yes 12
## 162 12355 1 Y No 12
## 163 20431 0 Y No 12
## 164 23016 3 Y Yes 13
## 165 5100 0 Y No 15
## 166 22052 1 Y No 13
## 167 3498 3 Y No 16
## 168 22578 4 Y No 19
## 169 22087 3 Y Yes 12
## 170 26968 4 Y No 22
## 171 25275 7 Y No 23
## 172 2125 8 Y No 18
## 173 8984 5 Y No 11
## 174 21708 0 Y Yes 14
## 175 13938 6 Y No 13
## 176 25326 1 Y Yes 11
## 177 21199 5 Y Yes 13
## 178 15346 6 Y Yes 14
## 179 15589 1 Y No 14
## 180 12930 4 Y No 22
## 181 19588 2 Y No 18
## 182 19461 3 Y No 15
## 183 16090 4 Y No 12
## 184 9150 4 Y No 18
## 185 17872 1 Y No 11
## 186 2613 1 Y No 23
## 187 4973 1 Y No 17
## 188 21086 6 Y No 14
## 189 15815 3 Y No 14
## 190 8863 1 Y No 15
## 191 11934 1 Y No 13
## 192 8277 2 Y No 14
## 193 26314 2 Y No 14
## 194 19658 2 Y No 14
## 195 4050 0 Y No 12
## 196 23231 1 Y No 11
## 197 18725 3 Y No 23
## 198 11879 6 Y No 17
## 199 2094 3 Y No 14
## 200 9100 1 Y No 21
## 201 17071 4 Y Yes 16
## 202 7346 1 Y No 17
## 203 19124 1 Y No 12
## 204 3872 7 Y Yes 13
## 205 20990 2 Y No 11
## 206 7508 1 Y Yes 13
## 207 9489 8 Y No 13
## 208 11354 7 Y Yes 19
## 209 10415 5 Y No 14
## 210 21196 3 Y Yes 13
## 211 5640 0 Y No 23
## 212 7770 6 Y No 13
## 213 15232 3 Y No 17
## 214 4051 9 Y Yes 13
## 215 15174 0 Y No 13
## 216 8045 2 Y No 14
## 217 22174 3 Y No 19
## 218 2437 3 Y No 11
## 219 23910 1 Y No 14
## 220 9973 1 Y Yes 20
## 221 18686 1 Y No 22
## 222 5630 2 Y No 14
## 223 16130 1 Y Yes 25
## 224 12530 1 Y No 14
## 225 14293 2 Y No 19
## 226 4077 1 Y No 13
## 227 10910 1 Y No 12
## 228 12392 1 Y Yes 16
## 229 17519 0 Y No 21
## 230 11652 2 Y Yes 19
## 231 5388 1 Y No 19
## 232 9687 1 Y No 13
## 233 24164 7 Y No 11
## 234 17011 2 Y No 14
## 235 19494 1 Y Yes 12
## 236 14922 5 Y No 11
## 237 17312 5 Y No 11
## 238 18089 1 Y Yes 12
## 239 19655 4 Y No 14
## 240 21981 5 Y No 15
## 241 6950 1 Y Yes 21
## 242 13035 3 Y No 22
## 243 4956 0 Y No 23
## 244 15182 3 Y No 12
## 245 17689 1 Y Yes 15
## 246 6054 6 Y No 14
## 247 25713 1 Y Yes 14
## 248 18024 0 Y No 14
## 249 13953 3 Y Yes 14
## 250 5626 7 Y No 16
## 251 20439 1 Y No 12
## 252 25952 4 Y No 13
## 253 6153 1 Y No 14
## 254 21495 0 Y No 17
## 255 25178 2 Y No 11
## 256 24978 4 Y No 13
## 257 3909 1 Y No 11
## 258 12761 7 Y No 14
## 259 24444 2 Y Yes 13
## 260 7298 6 Y Yes 19
## 261 11882 7 Y No 14
## 262 7568 6 Y No 13
## 263 22149 5 Y Yes 13
## 264 18203 1 Y No 15
## 265 13257 0 Y No 12
## 266 16479 0 Y No 13
## 267 11929 7 Y No 14
## 268 24852 1 Y No 12
## 269 18079 1 Y No 20
## 270 9096 0 Y No 15
## 271 19665 4 Y No 22
## 272 19332 1 Y No 12
## 273 7018 1 Y No 21
## 274 13494 4 Y No 13
## 275 13339 8 Y No 11
## 276 18575 4 Y No 13
## 277 24440 1 Y No 13
## 278 10675 0 Y No 19
## 279 26959 1 Y Yes 11
## 280 16143 0 Y Yes 16
## 281 6069 1 Y Yes 17
## 282 3119 2 Y Yes 13
## 283 9060 4 Y No 17
## 284 7143 4 Y No 12
## 285 6004 1 Y No 13
## 286 22949 1 Y Yes 12
## 287 26092 1 Y Yes 23
## 288 8758 0 Y No 11
## 289 22952 0 Y No 14
## 290 20317 1 Y No 16
## 291 11005 3 Y No 14
## 292 6927 7 Y No 15
## 293 11781 1 Y No 16
## 294 17231 0 Y No 18
## 295 17381 1 Y Yes 21
## 296 20232 7 Y Yes 11
## 297 14074 1 Y No 17
## 298 22887 1 Y Yes 24
## 299 10322 0 Y Yes 22
## 300 24737 5 Y Yes 13
## 301 8891 1 Y No 14
## 302 11031 1 Y No 22
## 303 23737 5 Y No 12
## 304 18698 1 Y No 19
## 305 26227 4 Y No 24
## 306 10778 0 Y No 17
## 307 20165 4 Y No 18
## 308 22478 3 Y No 17
## 309 12992 3 Y Yes 14
## 310 15678 0 Y No 22
## 311 13008 9 Y No 17
## 312 20364 7 Y No 15
## 313 4156 1 Y No 12
## 314 13983 2 Y No 17
## 315 11924 8 Y No 14
## 316 8571 1 Y Yes 17
## 317 11314 6 Y No 18
## 318 14120 1 Y No 12
## 319 3567 3 Y Yes 12
## 320 21221 1 Y Yes 12
## 321 3974 6 Y No 20
## 322 7660 1 Y No 12
## 323 2373 9 Y No 12
## 324 21029 8 Y Yes 23
## 325 7060 1 Y No 16
## 326 17808 1 Y No 19
## 327 3549 0 Y Yes 14
## 328 11189 6 Y Yes 17
## 329 18115 1 Y Yes 16
## 330 16616 0 Y No 14
## 331 22384 4 Y No 14
## 332 25812 1 Y No 11
## 333 11092 1 Y Yes 12
## 334 6009 1 Y No 11
## 335 21922 9 Y No 21
## 336 3129 1 Y No 22
## 337 18500 1 Y No 11
## 338 22266 0 Y No 17
## 339 17251 3 Y Yes 14
## 340 19715 1 Y No 13
## 341 13072 9 Y Yes 14
## 342 14222 1 Y Yes 12
## 343 21214 4 Y No 15
## 344 22653 1 Y No 20
## 345 13192 8 Y No 19
## 346 25098 0 Y No 12
## 347 15834 2 Y No 11
## 348 26767 1 Y No 20
## 349 4279 2 Y No 13
## 350 20420 7 Y No 11
## 351 14842 9 Y No 13
## 352 12241 4 Y No 11
## 353 21203 3 Y Yes 13
## 354 8841 3 Y Yes 18
## 355 26458 0 Y Yes 13
## 356 15891 3 Y No 18
## 357 23300 1 Y No 19
## 358 18300 5 Y No 16
## 359 10877 1 Y Yes 22
## 360 20251 0 Y No 11
## 361 5678 0 Y No 14
## 362 10642 1 Y No 17
## 363 25846 1 Y No 15
## 364 5949 0 Y No 19
## 365 6992 4 Y No 14
## 366 18256 9 Y No 11
## 367 22534 4 Y No 13
## 368 19345 0 Y No 12
## 369 12826 2 Y No 16
## 370 10557 7 Y No 16
## 371 11275 1 Y No 12
## 372 2890 0 Y No 11
## 373 20308 1 Y No 18
## 374 9953 1 Y No 11
## 375 21082 1 Y No 11
## 376 24450 1 Y Yes 13
## 377 8269 1 Y No 16
## 378 2900 3 Y Yes 12
## 379 26933 0 Y Yes 18
## 380 11539 4 Y Yes 11
## 381 16375 4 Y No 11
## 382 8916 1 Y No 23
## 383 24795 4 Y No 11
## 384 9518 3 Y No 13
## 385 10332 9 Y Yes 12
## 386 16292 1 Y No 13
## 387 9096 1 Y No 14
## 388 22645 4 Y No 12
## 389 7439 3 Y No 15
## 390 9150 1 Y Yes 11
## 391 13305 5 Y No 17
## 392 21436 7 Y Yes 19
## 393 3995 1 Y Yes 13
## 394 2845 4 Y No 19
## 395 9068 5 Y Yes 14
## 396 7747 0 Y Yes 18
## 397 2288 6 Y No 13
## 398 3072 1 Y No 15
## 399 26236 1 Y No 21
## 400 19719 5 Y Yes 18
## 401 24793 2 Y No 20
## 402 16439 2 Y No 16
## 403 5411 4 Y No 12
## 404 22792 4 Y No 12
## 405 17852 1 Y No 11
## 406 2671 4 Y Yes 14
## 407 13402 1 Y No 14
## 408 6865 1 Y No 14
## 409 22021 2 Y No 16
## 410 5200 6 Y No 24
## 411 8635 0 Y No 21
## 412 15869 1 Y No 12
## 413 10227 4 Y No 21
## 414 26075 8 Y No 13
## 415 12253 0 Y No 16
## 416 24442 2 Y No 14
## 417 7181 0 Y No 14
## 418 7122 4 Y No 18
## 419 9961 1 Y No 13
## 420 21526 1 Y No 18
## 421 17736 1 Y No 15
## 422 23866 3 Y Yes 15
## 423 20739 4 Y Yes 18
## 424 19305 1 Y No 15
## 425 24232 1 Y No 11
## 426 5268 5 Y No 13
## 427 7152 1 Y No 13
## 428 10531 1 Y No 17
## 429 9571 0 Y Yes 14
## 430 23687 6 Y No 13
## 431 5242 1 Y Yes 11
## 432 8532 9 Y No 16
## 433 22710 3 Y No 20
## 434 10007 1 Y No 13
## 435 20652 2 Y No 12
## 436 3415 1 Y No 18
## 437 16374 6 Y No 17
## 438 20006 0 Y No 13
## 439 3810 1 Y Yes 14
## 440 19383 0 Y No 13
## 441 2338 4 Y Yes 14
## 442 25412 9 Y No 17
## 443 14935 2 Y No 11
## 444 4167 4 Y Yes 18
## 445 14218 7 Y Yes 17
## 446 10205 7 Y No 12
## 447 9867 7 Y No 15
## 448 5696 5 Y No 18
## 449 5456 1 Y No 11
## 450 24162 1 Y No 15
## 451 21653 0 Y Yes 13
## 452 21158 1 Y No 13
## 453 13492 1 Y Yes 18
## 454 10410 1 Y No 14
## 455 17997 7 Y No 11
## 456 4349 1 Y No 14
## 457 22589 1 Y No 11
## 458 8423 0 Y Yes 22
## 459 10494 2 Y No 22
## 460 22604 1 Y No 16
## 461 9260 4 Y No 17
## 462 10950 2 Y No 11
## 463 6645 4 Y No 11
## 464 6670 2 Y No 20
## 465 15587 9 Y Yes 16
## 466 4306 5 Y Yes 11
## 467 17001 3 Y Yes 21
## 468 22002 3 Y No 12
## 469 21813 8 Y No 18
## 470 26250 1 Y No 11
## 471 6073 1 Y No 11
## 472 14753 1 Y Yes 24
## 473 15067 4 Y Yes 14
## 474 9752 5 Y No 13
## 475 22482 1 Y No 16
## 476 20445 4 Y Yes 21
## 477 24558 4 Y No 19
## 478 4267 5 Y No 12
## 479 17363 9 Y No 13
## 480 15471 1 Y Yes 25
## 481 6225 0 Y No 12
## 482 14871 3 Y Yes 19
## 483 26496 1 Y Yes 15
## 484 13939 4 Y Yes 18
## 485 3465 1 Y No 12
## 486 19479 8 Y Yes 11
## 487 16019 1 Y No 13
## 488 15170 1 Y No 17
## 489 19294 9 Y Yes 13
## 490 7360 3 Y No 11
## 491 25594 9 Y Yes 11
## 492 22422 4 Y Yes 11
## 493 23413 9 Y No 11
## 494 21195 1 Y No 19
## 495 6060 1 Y Yes 13
## 496 5594 2 Y No 14
## 497 9655 3 Y No 21
## 498 11411 1 Y Yes 12
## 499 16577 6 Y No 13
## 500 3987 6 Y No 19
## 501 12023 7 Y Yes 14
## 502 12947 5 Y Yes 14
## 503 11740 2 Y Yes 11
## 504 10195 1 Y No 11
## 505 26703 3 Y No 19
## 506 15624 3 Y No 12
## 507 9150 1 Y Yes 13
## 508 15395 2 Y No 11
## 509 2539 4 Y No 17
## 510 16280 1 Y No 12
## 511 5982 1 Y No 11
## 512 3449 3 Y No 21
## 513 17360 6 Y No 13
## 514 15146 1 Y Yes 12
## 515 2851 1 Y No 24
## 516 16321 5 Y No 18
## 517 18798 1 Y Yes 18
## 518 8952 8 Y No 22
## 519 23631 0 Y No 12
## 520 10261 1 Y No 16
## 521 8306 1 Y No 16
## 522 7324 1 Y Yes 17
## 523 18787 2 Y No 17
## 524 2125 1 Y Yes 17
## 525 8456 3 Y No 17
## 526 23537 2 Y No 12
## 527 6319 4 Y Yes 11
## 528 17089 1 Y Yes 12
## 529 26278 1 Y No 18
## 530 4510 9 Y Yes 18
## 531 24608 0 Y No 18
## 532 21447 6 Y No 13
## 533 23779 1 Y No 24
## 534 16542 5 Y No 18
## 535 4759 1 Y Yes 11
## 536 5228 4 Y No 14
## 537 20619 7 Y No 16
## 538 24017 0 Y Yes 11
## 539 21972 1 Y Yes 16
## 540 2253 7 Y No 13
## 541 11309 1 Y No 13
## 542 6076 6 Y No 19
## 543 25326 1 Y Yes 15
## 544 7259 9 Y No 14
## 545 7530 1 Y No 11
## 546 20338 1 Y No 12
## 547 22477 4 Y No 11
## 548 11983 6 Y No 14
## 549 26707 3 Y No 17
## 550 8318 1 Y No 16
## 551 19562 1 Y No 12
## 552 23965 1 Y No 13
## 553 4223 1 Y No 21
## 554 5543 4 Y No 17
## 555 14242 9 Y No 14
## 556 3010 4 Y Yes 11
## 557 23428 7 Y No 11
## 558 22794 1 Y Yes 13
## 559 11806 1 Y No 13
## 560 20156 1 Y No 17
## 561 15062 4 Y No 12
## 562 21624 2 Y Yes 14
## 563 12086 9 Y No 14
## 564 26862 4 Y No 20
## 565 24375 3 Y No 21
## 566 13422 6 Y Yes 12
## 567 19737 4 Y No 13
## 568 5323 1 Y No 11
## 569 7824 7 Y No 17
## 570 4161 3 Y Yes 18
## 571 26841 5 Y No 21
## 572 8870 1 Y No 19
## 573 19255 1 Y Yes 12
## 574 22128 1 Y No 21
## 575 7428 1 Y No 20
## 576 2689 1 Y No 18
## 577 11473 4 Y No 14
## 578 7973 3 Y No 14
## 579 3140 0 Y No 13
## 580 4204 1 Y Yes 11
## 581 9075 3 Y No 11
## 582 15901 2 Y No 14
## 583 24539 3 Y Yes 16
## 584 3698 1 Y Yes 20
## 585 19121 2 Y Yes 13
## 586 16523 8 Y Yes 15
## 587 15717 7 Y Yes 12
## 588 6986 7 Y No 23
## 589 19106 4 Y No 18
## 590 16002 3 Y Yes 15
## 591 10293 1 Y Yes 14
## 592 7815 0 Y Yes 23
## 593 15747 3 Y No 15
## 594 22102 1 Y No 14
## 595 25800 1 Y No 13
## 596 21816 1 Y No 22
## 597 9129 3 Y No 16
## 598 13436 6 Y No 22
## 599 5174 1 Y Yes 20
## 600 3020 2 Y Yes 16
## 601 7103 1 Y No 13
## 602 25174 4 Y No 14
## 603 17802 0 Y Yes 12
## 604 26342 1 Y No 13
## 605 14630 1 Y No 13
## 606 13514 3 Y No 19
## 607 24668 7 Y No 11
## 608 19191 1 Y Yes 24
## 609 23577 0 Y No 12
## 610 21437 0 Y No 19
## 611 10846 0 Y No 12
## 612 2112 2 Y Yes 17
## 613 21509 7 Y No 20
## 614 9947 1 Y Yes 13
## 615 9977 5 Y No 11
## 616 11912 1 Y No 14
## 617 8192 8 Y No 11
## 618 4009 5 Y Yes 21
## 619 21457 4 Y No 15
## 620 16900 1 Y No 18
## 621 19783 1 Y Yes 18
## 622 6759 1 Y Yes 19
## 623 13551 2 Y No 16
## 624 16642 1 Y Yes 16
## 625 5355 7 Y No 11
## 626 3208 1 Y No 11
## 627 15211 1 Y Yes 12
## 628 15682 0 Y Yes 14
## 629 15813 3 Y No 18
## 630 17654 1 Y No 14
## 631 7975 8 Y No 20
## 632 6770 1 Y No 21
## 633 4981 8 Y Yes 12
## 634 2561 5 Y No 22
## 635 9262 8 Y No 16
## 636 26537 1 Y No 13
## 637 14399 0 Y No 17
## 638 22914 1 Y No 18
## 639 21630 1 Y Yes 11
## 640 16346 0 Y No 11
## 641 13335 1 Y No 22
## 642 10748 2 Y No 12
## 643 17323 7 Y No 15
## 644 14460 1 Y Yes 23
## 645 20293 6 Y No 17
## 646 8552 7 Y No 11
## 647 13556 1 Y No 12
## 648 6217 1 Y No 15
## 649 23016 0 Y No 14
## 650 3339 3 Y Yes 14
## 651 21731 1 Y No 19
## 652 10893 0 Y Yes 18
## 653 13782 9 Y No 17
## 654 23978 3 Y No 21
## 655 9129 5 Y No 16
## 656 22722 1 Y Yes 13
## 657 15736 5 Y No 16
## 658 24456 3 Y No 20
## 659 10110 6 Y Yes 15
## 660 22656 1 Y No 13
## 661 21146 1 Y No 15
## 662 8416 3 Y No 12
## 663 5596 4 Y Yes 12
## 664 9541 1 Y No 20
## 665 10034 0 Y No 20
## 666 23060 8 Y Yes 12
## 667 6599 1 Y No 14
## 668 6705 7 Y No 13
## 669 22845 1 Y No 18
## 670 23474 3 Y No 14
## 671 25258 4 Y No 13
## 672 3921 1 Y No 14
## 673 11827 0 Y No 14
## 674 16612 1 Y Yes 19
## 675 22490 7 Y No 17
## 676 9946 2 Y No 14
## 677 23361 0 Y No 15
## 678 26849 1 Y No 11
## 679 9192 7 Y No 13
## 680 11737 3 Y No 15
## 681 18154 1 Y No 12
## 682 15238 7 Y No 20
## 683 7419 6 Y No 14
## 684 23402 3 Y Yes 16
## 685 6672 1 Y No 11
## 686 14394 1 Y No 25
## 687 22930 0 Y Yes 12
## 688 13248 6 Y No 21
## 689 9241 1 Y No 22
## 690 7129 5 Y No 13
## 691 14814 3 Y No 11
## 692 10268 1 Y Yes 12
## 693 17078 3 Y No 23
## 694 3427 9 Y Yes 23
## 695 7677 1 Y No 14
## 696 13137 1 Y Yes 18
## 697 5602 2 Y No 25
## 698 9945 8 Y No 16
## 699 18420 1 Y Yes 12
## 700 10849 5 Y No 11
## 701 15434 1 Y No 11
## 702 5829 1 Y No 20
## 703 13755 4 Y Yes 11
## 704 6889 0 Y Yes 11
## 705 25657 8 Y No 17
## 706 13430 7 Y No 14
## 707 15696 4 Y No 15
## 708 24609 9 Y No 18
## 709 16376 1 Y No 11
## 710 4544 1 Y No 11
## 711 25927 1 Y Yes 23
## 712 22102 3 Y No 12
## 713 16620 5 Y No 11
## 714 7246 4 Y No 11
## 715 14229 1 Y No 15
## 716 11585 1 Y No 11
## 717 2706 1 Y No 18
## 718 7909 3 Y No 13
## 719 10414 3 Y Yes 24
## 720 8039 0 Y No 17
## 721 9606 1 Y No 15
## 722 26493 3 Y No 17
## 723 20284 5 Y No 14
## 724 15669 0 Y No 11
## 725 13624 4 Y No 13
## 726 7505 0 Y No 12
## 727 21222 5 Y No 15
## 728 5972 1 Y Yes 17
## 729 23213 1 Y Yes 18
## 730 19299 0 Y No 14
## 731 23814 4 Y No 21
## 732 17778 4 Y Yes 18
## 733 19555 1 Y No 12
## 734 23914 8 Y No 12
## 735 22061 1 Y No 13
## 736 26997 0 Y No 14
## 737 8828 0 Y No 11
## 738 16490 5 Y No 17
## 739 6179 1 Y No 16
## 740 14004 4 Y No 14
## 741 24835 2 Y No 18
## 742 25291 9 Y No 21
## 743 3031 1 Y No 17
## 744 12862 1 Y No 13
## 745 13684 0 Y Yes 22
## 746 10036 0 Y No 14
## 747 3157 4 Y Yes 15
## 748 25755 0 Y No 20
## 749 3622 1 Y No 13
## 750 10515 0 Y No 14
## 751 17205 1 Y Yes 14
## 752 8319 1 Y Yes 11
## 753 20689 2 Y Yes 15
## 754 14011 5 Y No 21
## 755 24001 9 Y No 12
## 756 2104 2 Y No 14
## 757 19170 1 Y Yes 25
## 758 21534 2 Y No 14
## 759 26176 7 Y No 19
## 760 2493 2 Y Yes 16
## 761 11479 6 Y Yes 20
## 762 12982 1 Y Yes 11
## 763 22074 1 Y No 13
## 764 24920 0 Y No 12
## 765 2243 0 Y No 19
## 766 23447 1 Y Yes 14
## 767 18863 1 Y No 13
## 768 11373 3 Y No 15
## 769 17433 2 Y No 11
## 770 17970 1 Y No 13
## 771 4317 3 Y No 14
## 772 2137 1 Y No 25
## 773 6420 0 Y No 25
## 774 21777 0 Y Yes 17
## 775 18611 2 Y Yes 14
## 776 19630 1 Y No 18
## 777 15428 0 Y No 21
## 778 14947 1 Y No 12
## 779 11925 1 Y No 20
## 780 26124 9 Y Yes 14
## 781 21728 1 Y Yes 22
## 782 20978 1 Y No 11
## 783 22650 3 Y Yes 11
## 784 4905 1 Y No 12
## 785 3536 7 Y No 11
## 786 8847 3 Y No 11
## 787 22984 2 Y No 11
## 788 17747 2 Y No 15
## 789 19805 8 Y No 12
## 790 18830 1 Y No 18
## 791 23070 4 Y No 25
## 792 5711 2 Y No 15
## 793 14199 3 Y Yes 19
## 794 8202 1 Y No 13
## 795 23793 1 Y Yes 15
## 796 3164 1 Y Yes 11
## 797 7501 0 Y Yes 14
## 798 15999 1 Y Yes 17
## 799 6148 1 Y Yes 25
## 800 26308 6 Y No 20
## 801 3193 2 Y No 19
## 802 8346 4 Y Yes 13
## 803 5355 1 Y Yes 14
## 804 10333 0 Y Yes 22
## 805 25043 4 Y No 12
## 806 25949 7 Y Yes 13
## 807 12477 2 Y No 11
## 808 11992 1 Y No 24
## 809 3811 1 Y No 12
## 810 13364 0 Y Yes 16
## 811 11012 1 Y No 11
## 812 4910 4 Y No 11
## 813 5915 1 Y Yes 12
## 814 5220 3 Y No 11
## 815 12102 0 Y No 19
## 816 6311 0 Y No 13
## 817 20234 5 Y Yes 24
## 818 25995 0 Y No 11
## 819 11162 0 Y No 13
## 820 23352 3 Y Yes 11
## 821 18783 3 Y No 17
## 822 10732 2 Y No 14
## 823 8978 1 Y No 21
## 824 6233 1 Y No 12
## 825 12421 9 Y Yes 12
## 826 21445 9 Y No 17
## 827 19002 2 Y No 13
## 828 6039 0 Y Yes 12
## 829 15963 4 Y No 14
## 830 7999 1 Y No 11
## 831 14039 1 Y Yes 15
## 832 26820 1 Y Yes 19
## 833 12449 1 Y No 12
## 834 7172 1 Y No 25
## 835 25592 1 Y Yes 15
## 836 24666 1 Y No 13
## 837 5182 7 Y Yes 15
## 838 19921 1 Y No 12
## 839 19271 8 Y Yes 12
## 840 13583 4 Y No 12
## 841 25233 1 Y No 13
## 842 9769 1 Y No 13
## 843 19028 3 Y No 22
## 844 5494 0 Y No 11
## 845 25353 5 Y No 12
## 846 13535 1 Y No 12
## 847 16102 1 Y No 14
## 848 10942 0 Y No 17
## 849 6110 2 Y Yes 12
## 850 7102 0 Y No 18
## 851 24788 3 Y Yes 11
## 852 16117 1 Y No 13
## 853 12682 0 Y Yes 12
## 854 4824 0 Y No 19
## 855 25388 0 Y Yes 11
## 856 16192 1 Y No 13
## 857 8556 5 Y Yes 11
## 858 14034 1 Y No 24
## 859 6961 2 Y No 21
## 860 14075 1 Y No 11
## 861 4257 0 Y No 14
## 862 20364 3 Y No 14
## 863 4652 8 Y Yes 13
## 864 10225 9 Y Yes 12
## 865 14720 4 Y Yes 18
## 866 18706 1 Y No 11
## 867 12069 0 Y No 18
## 868 24200 3 Y Yes 17
## 869 20100 4 Y Yes 19
## 870 15986 5 Y No 11
## PerformanceRating RelationshipSatisfaction StandardHours StockOptionLevel
## 1 3 3 80 1
## 2 3 1 80 0
## 3 3 3 80 0
## 4 3 3 80 2
## 5 3 3 80 0
## 6 4 3 80 2
## 7 3 1 80 0
## 8 3 3 80 3
## 9 3 4 80 1
## 10 3 2 80 1
## 11 3 4 80 0
## 12 3 2 80 1
## 13 4 2 80 0
## 14 3 1 80 1
## 15 3 3 80 0
## 16 3 4 80 1
## 17 3 3 80 1
## 18 3 3 80 0
## 19 3 1 80 3
## 20 3 4 80 1
## 21 3 3 80 1
## 22 3 4 80 0
## 23 3 2 80 1
## 24 3 4 80 0
## 25 3 1 80 0
## 26 3 3 80 1
## 27 3 4 80 1
## 28 3 1 80 0
## 29 3 2 80 0
## 30 3 1 80 1
## 31 3 4 80 3
## 32 3 4 80 3
## 33 3 2 80 1
## 34 3 2 80 1
## 35 4 2 80 0
## 36 4 3 80 0
## 37 3 3 80 0
## 38 3 2 80 3
## 39 3 1 80 0
## 40 3 1 80 1
## 41 4 4 80 1
## 42 3 1 80 0
## 43 3 2 80 1
## 44 4 4 80 0
## 45 4 4 80 1
## 46 3 3 80 0
## 47 3 2 80 0
## 48 3 2 80 2
## 49 3 4 80 0
## 50 3 4 80 1
## 51 3 4 80 0
## 52 4 3 80 1
## 53 3 4 80 1
## 54 3 2 80 0
## 55 4 4 80 0
## 56 4 2 80 2
## 57 3 4 80 0
## 58 3 4 80 0
## 59 3 1 80 2
## 60 3 4 80 0
## 61 3 1 80 1
## 62 3 1 80 0
## 63 3 3 80 1
## 64 3 3 80 0
## 65 3 1 80 1
## 66 3 4 80 2
## 67 3 2 80 0
## 68 3 3 80 0
## 69 3 4 80 1
## 70 3 2 80 0
## 71 4 1 80 1
## 72 3 4 80 0
## 73 3 1 80 0
## 74 3 1 80 1
## 75 3 3 80 0
## 76 4 4 80 0
## 77 3 4 80 0
## 78 3 2 80 0
## 79 3 4 80 0
## 80 3 3 80 3
## 81 3 1 80 0
## 82 3 2 80 1
## 83 3 4 80 1
## 84 3 1 80 2
## 85 3 4 80 0
## 86 3 1 80 0
## 87 3 4 80 0
## 88 4 4 80 1
## 89 3 4 80 0
## 90 3 4 80 0
## 91 4 3 80 1
## 92 3 1 80 1
## 93 3 2 80 0
## 94 3 3 80 0
## 95 3 2 80 0
## 96 4 3 80 0
## 97 3 4 80 1
## 98 3 4 80 1
## 99 3 3 80 3
## 100 3 1 80 1
## 101 3 2 80 0
## 102 3 1 80 1
## 103 3 1 80 1
## 104 3 1 80 1
## 105 3 2 80 0
## 106 4 2 80 1
## 107 3 1 80 1
## 108 3 1 80 1
## 109 4 4 80 1
## 110 3 4 80 0
## 111 3 4 80 1
## 112 3 2 80 1
## 113 3 4 80 0
## 114 3 1 80 1
## 115 3 4 80 3
## 116 3 4 80 0
## 117 3 2 80 0
## 118 3 1 80 1
## 119 3 1 80 1
## 120 3 4 80 0
## 121 3 1 80 1
## 122 3 4 80 0
## 123 3 3 80 1
## 124 4 1 80 0
## 125 3 1 80 0
## 126 3 4 80 0
## 127 4 2 80 0
## 128 3 4 80 2
## 129 3 1 80 0
## 130 3 4 80 1
## 131 3 2 80 1
## 132 3 3 80 0
## 133 3 4 80 3
## 134 4 3 80 0
## 135 3 2 80 1
## 136 4 4 80 1
## 137 3 4 80 1
## 138 3 3 80 1
## 139 4 4 80 0
## 140 3 1 80 0
## 141 3 1 80 1
## 142 3 4 80 2
## 143 3 2 80 1
## 144 3 2 80 1
## 145 4 2 80 3
## 146 3 1 80 1
## 147 3 4 80 1
## 148 3 4 80 1
## 149 4 4 80 0
## 150 4 2 80 1
## 151 3 3 80 0
## 152 3 4 80 0
## 153 3 3 80 1
## 154 3 1 80 0
## 155 3 2 80 2
## 156 3 2 80 1
## 157 3 3 80 1
## 158 3 4 80 3
## 159 3 3 80 1
## 160 3 3 80 0
## 161 3 3 80 2
## 162 3 1 80 0
## 163 3 4 80 0
## 164 3 3 80 0
## 165 3 3 80 2
## 166 3 4 80 0
## 167 3 2 80 2
## 168 3 3 80 1
## 169 3 2 80 2
## 170 4 1 80 1
## 171 4 4 80 1
## 172 3 3 80 1
## 173 3 4 80 0
## 174 3 4 80 2
## 175 3 3 80 1
## 176 3 3 80 0
## 177 3 4 80 1
## 178 3 2 80 1
## 179 3 4 80 0
## 180 4 3 80 0
## 181 3 2 80 1
## 182 3 4 80 1
## 183 3 4 80 0
## 184 3 4 80 0
## 185 3 1 80 1
## 186 4 4 80 1
## 187 3 3 80 2
## 188 3 3 80 3
## 189 3 1 80 2
## 190 3 2 80 0
## 191 3 4 80 2
## 192 3 4 80 2
## 193 3 3 80 1
## 194 3 1 80 1
## 195 3 4 80 0
## 196 3 2 80 0
## 197 4 2 80 2
## 198 3 2 80 1
## 199 3 4 80 1
## 200 4 4 80 1
## 201 3 4 80 0
## 202 3 2 80 2
## 203 3 3 80 1
## 204 3 4 80 0
## 205 3 1 80 1
## 206 3 4 80 0
## 207 3 2 80 0
## 208 3 2 80 0
## 209 3 4 80 1
## 210 3 3 80 1
## 211 4 3 80 1
## 212 3 2 80 0
## 213 3 1 80 0
## 214 3 4 80 1
## 215 3 4 80 0
## 216 3 3 80 1
## 217 3 3 80 1
## 218 3 2 80 1
## 219 3 3 80 0
## 220 4 2 80 0
## 221 4 3 80 0
## 222 3 4 80 2
## 223 4 3 80 1
## 224 3 4 80 1
## 225 3 4 80 2
## 226 3 3 80 0
## 227 3 3 80 1
## 228 3 1 80 1
## 229 4 1 80 1
## 230 3 2 80 1
## 231 3 1 80 2
## 232 3 1 80 0
## 233 3 3 80 0
## 234 3 4 80 1
## 235 3 4 80 2
## 236 3 3 80 0
## 237 3 1 80 0
## 238 3 4 80 1
## 239 3 3 80 0
## 240 3 3 80 3
## 241 4 4 80 1
## 242 4 3 80 0
## 243 4 4 80 1
## 244 3 1 80 0
## 245 3 3 80 1
## 246 3 3 80 3
## 247 3 3 80 0
## 248 3 2 80 1
## 249 3 1 80 2
## 250 3 2 80 1
## 251 3 3 80 3
## 252 3 4 80 2
## 253 3 4 80 0
## 254 3 3 80 0
## 255 3 3 80 1
## 256 3 3 80 0
## 257 3 3 80 1
## 258 3 2 80 2
## 259 3 4 80 3
## 260 3 3 80 1
## 261 3 3 80 0
## 262 3 3 80 0
## 263 3 3 80 1
## 264 3 2 80 1
## 265 3 3 80 1
## 266 3 3 80 1
## 267 3 4 80 2
## 268 3 1 80 0
## 269 4 3 80 3
## 270 3 3 80 1
## 271 4 2 80 2
## 272 3 3 80 1
## 273 4 4 80 1
## 274 3 1 80 2
## 275 3 4 80 0
## 276 3 4 80 1
## 277 3 4 80 1
## 278 3 1 80 0
## 279 3 4 80 0
## 280 3 2 80 0
## 281 3 1 80 1
## 282 3 3 80 0
## 283 3 4 80 1
## 284 3 4 80 3
## 285 3 4 80 1
## 286 3 2 80 1
## 287 4 1 80 0
## 288 3 3 80 1
## 289 3 3 80 1
## 290 3 2 80 1
## 291 3 4 80 2
## 292 3 3 80 1
## 293 3 4 80 0
## 294 3 1 80 2
## 295 4 4 80 0
## 296 3 3 80 1
## 297 3 3 80 0
## 298 4 4 80 0
## 299 4 1 80 0
## 300 3 4 80 0
## 301 3 4 80 1
## 302 4 4 80 1
## 303 3 4 80 1
## 304 3 2 80 0
## 305 4 1 80 0
## 306 3 4 80 0
## 307 3 2 80 0
## 308 3 4 80 3
## 309 3 4 80 2
## 310 4 3 80 1
## 311 3 2 80 1
## 312 3 3 80 0
## 313 3 1 80 0
## 314 3 3 80 0
## 315 3 4 80 0
## 316 3 3 80 0
## 317 3 4 80 1
## 318 3 2 80 0
## 319 3 4 80 2
## 320 3 4 80 0
## 321 4 3 80 0
## 322 3 4 80 1
## 323 3 2 80 1
## 324 4 1 80 3
## 325 3 3 80 1
## 326 3 3 80 0
## 327 3 4 80 1
## 328 3 3 80 1
## 329 3 3 80 1
## 330 3 3 80 1
## 331 3 1 80 0
## 332 3 3 80 0
## 333 3 3 80 3
## 334 3 4 80 0
## 335 4 4 80 1
## 336 4 2 80 0
## 337 3 4 80 1
## 338 3 3 80 0
## 339 3 4 80 0
## 340 3 4 80 1
## 341 3 4 80 1
## 342 3 2 80 1
## 343 3 3 80 1
## 344 4 3 80 1
## 345 3 3 80 3
## 346 3 1 80 0
## 347 3 4 80 0
## 348 4 1 80 1
## 349 3 4 80 0
## 350 3 3 80 0
## 351 3 2 80 1
## 352 3 2 80 1
## 353 3 4 80 1
## 354 3 3 80 0
## 355 3 4 80 1
## 356 3 4 80 0
## 357 3 3 80 0
## 358 3 2 80 0
## 359 4 2 80 1
## 360 3 3 80 1
## 361 3 1 80 1
## 362 3 4 80 0
## 363 3 4 80 1
## 364 3 4 80 1
## 365 3 4 80 1
## 366 3 4 80 3
## 367 3 3 80 2
## 368 3 4 80 0
## 369 3 4 80 1
## 370 3 3 80 0
## 371 3 3 80 1
## 372 3 3 80 0
## 373 3 1 80 1
## 374 3 1 80 1
## 375 3 1 80 0
## 376 3 4 80 0
## 377 3 3 80 0
## 378 3 3 80 2
## 379 3 1 80 1
## 380 3 2 80 0
## 381 3 2 80 1
## 382 4 4 80 1
## 383 3 1 80 3
## 384 3 3 80 1
## 385 3 3 80 3
## 386 3 2 80 1
## 387 3 1 80 0
## 388 3 2 80 2
## 389 3 3 80 0
## 390 3 3 80 0
## 391 3 2 80 1
## 392 3 3 80 1
## 393 3 4 80 1
## 394 3 4 80 0
## 395 3 4 80 0
## 396 3 2 80 1
## 397 3 3 80 0
## 398 3 4 80 0
## 399 4 1 80 1
## 400 3 2 80 0
## 401 4 3 80 0
## 402 3 2 80 1
## 403 3 3 80 0
## 404 3 3 80 2
## 405 3 4 80 0
## 406 3 3 80 1
## 407 3 1 80 2
## 408 3 3 80 1
## 409 3 3 80 0
## 410 4 3 80 1
## 411 4 3 80 0
## 412 3 2 80 0
## 413 4 1 80 0
## 414 3 3 80 0
## 415 3 4 80 1
## 416 3 3 80 1
## 417 3 3 80 0
## 418 3 4 80 2
## 419 3 2 80 1
## 420 3 3 80 0
## 421 3 3 80 0
## 422 3 1 80 2
## 423 3 2 80 0
## 424 3 3 80 0
## 425 3 3 80 1
## 426 3 3 80 1
## 427 3 2 80 2
## 428 3 1 80 0
## 429 3 4 80 0
## 430 3 2 80 1
## 431 3 1 80 0
## 432 3 2 80 1
## 433 4 1 80 0
## 434 3 3 80 1
## 435 3 2 80 1
## 436 3 1 80 1
## 437 3 4 80 0
## 438 3 4 80 0
## 439 3 3 80 0
## 440 3 3 80 0
## 441 3 4 80 0
## 442 3 3 80 1
## 443 3 3 80 0
## 444 3 1 80 3
## 445 3 3 80 1
## 446 3 3 80 1
## 447 3 4 80 2
## 448 3 3 80 2
## 449 3 4 80 0
## 450 3 1 80 1
## 451 3 1 80 1
## 452 3 3 80 0
## 453 3 4 80 0
## 454 3 2 80 0
## 455 3 1 80 1
## 456 3 2 80 0
## 457 3 1 80 2
## 458 4 4 80 0
## 459 4 4 80 1
## 460 3 3 80 0
## 461 3 4 80 1
## 462 3 3 80 0
## 463 3 4 80 0
## 464 4 4 80 0
## 465 3 4 80 1
## 466 3 3 80 0
## 467 4 4 80 0
## 468 3 2 80 0
## 469 3 4 80 0
## 470 3 3 80 2
## 471 3 3 80 1
## 472 4 2 80 0
## 473 3 2 80 0
## 474 3 2 80 0
## 475 3 4 80 1
## 476 4 3 80 0
## 477 3 4 80 2
## 478 3 1 80 2
## 479 3 3 80 0
## 480 4 1 80 1
## 481 3 1 80 1
## 482 3 2 80 1
## 483 3 2 80 0
## 484 3 3 80 1
## 485 3 4 80 1
## 486 3 1 80 0
## 487 3 3 80 0
## 488 3 4 80 1
## 489 3 4 80 0
## 490 3 4 80 0
## 491 3 4 80 0
## 492 3 2 80 0
## 493 3 3 80 0
## 494 3 4 80 0
## 495 3 1 80 1
## 496 3 3 80 1
## 497 4 4 80 2
## 498 3 3 80 3
## 499 3 2 80 2
## 500 3 3 80 1
## 501 3 4 80 0
## 502 3 2 80 0
## 503 3 3 80 2
## 504 3 3 80 1
## 505 3 2 80 2
## 506 3 1 80 1
## 507 3 2 80 0
## 508 3 2 80 0
## 509 3 3 80 1
## 510 3 4 80 0
## 511 3 3 80 1
## 512 4 2 80 1
## 513 3 1 80 1
## 514 3 3 80 0
## 515 4 3 80 0
## 516 3 4 80 1
## 517 3 3 80 3
## 518 4 2 80 3
## 519 3 1 80 1
## 520 3 4 80 0
## 521 3 3 80 0
## 522 3 3 80 3
## 523 3 3 80 1
## 524 3 3 80 1
## 525 3 1 80 1
## 526 3 1 80 1
## 527 3 1 80 1
## 528 3 4 80 0
## 529 3 1 80 0
## 530 3 1 80 3
## 531 3 1 80 1
## 532 3 1 80 0
## 533 4 3 80 1
## 534 3 2 80 1
## 535 3 4 80 0
## 536 3 4 80 3
## 537 3 3 80 0
## 538 3 3 80 1
## 539 3 2 80 0
## 540 3 4 80 0
## 541 3 1 80 3
## 542 3 2 80 1
## 543 3 4 80 1
## 544 3 2 80 0
## 545 3 3 80 0
## 546 3 2 80 0
## 547 3 3 80 1
## 548 3 4 80 0
## 549 3 3 80 1
## 550 3 1 80 0
## 551 3 2 80 1
## 552 3 4 80 1
## 553 4 4 80 0
## 554 3 1 80 2
## 555 3 4 80 1
## 556 3 3 80 1
## 557 3 3 80 0
## 558 3 4 80 1
## 559 3 4 80 1
## 560 3 2 80 1
## 561 3 3 80 0
## 562 3 2 80 0
## 563 3 2 80 1
## 564 4 3 80 1
## 565 4 3 80 2
## 566 3 3 80 0
## 567 3 4 80 0
## 568 3 4 80 1
## 569 3 1 80 0
## 570 3 4 80 1
## 571 4 3 80 1
## 572 3 1 80 0
## 573 3 3 80 1
## 574 4 3 80 2
## 575 4 4 80 2
## 576 3 3 80 1
## 577 3 1 80 0
## 578 3 4 80 0
## 579 3 4 80 0
## 580 3 2 80 2
## 581 3 3 80 3
## 582 3 2 80 0
## 583 3 3 80 1
## 584 4 1 80 0
## 585 3 4 80 0
## 586 3 3 80 1
## 587 3 4 80 3
## 588 4 2 80 0
## 589 3 1 80 0
## 590 3 3 80 1
## 591 3 2 80 0
## 592 4 3 80 0
## 593 3 4 80 1
## 594 3 4 80 1
## 595 3 4 80 2
## 596 4 1 80 1
## 597 3 1 80 0
## 598 4 2 80 1
## 599 4 2 80 1
## 600 3 1 80 1
## 601 3 3 80 1
## 602 3 2 80 1
## 603 3 3 80 3
## 604 3 1 80 1
## 605 3 3 80 0
## 606 3 3 80 0
## 607 3 4 80 0
## 608 4 3 80 1
## 609 3 4 80 0
## 610 3 4 80 0
## 611 3 2 80 1
## 612 3 1 80 0
## 613 4 1 80 0
## 614 3 2 80 0
## 615 3 1 80 1
## 616 3 3 80 1
## 617 3 4 80 0
## 618 4 3 80 1
## 619 3 1 80 1
## 620 3 3 80 2
## 621 3 2 80 0
## 622 3 3 80 0
## 623 3 3 80 0
## 624 3 3 80 0
## 625 3 3 80 0
## 626 3 2 80 3
## 627 3 3 80 2
## 628 3 2 80 1
## 629 3 2 80 1
## 630 3 2 80 0
## 631 4 2 80 1
## 632 4 1 80 0
## 633 3 3 80 0
## 634 4 1 80 1
## 635 3 1 80 1
## 636 3 2 80 1
## 637 3 4 80 1
## 638 3 3 80 1
## 639 3 2 80 2
## 640 3 2 80 1
## 641 4 2 80 1
## 642 3 2 80 1
## 643 3 2 80 0
## 644 4 2 80 1
## 645 3 1 80 1
## 646 3 1 80 1
## 647 3 4 80 0
## 648 3 3 80 3
## 649 3 2 80 0
## 650 3 2 80 0
## 651 3 2 80 0
## 652 3 2 80 1
## 653 3 3 80 0
## 654 4 2 80 1
## 655 3 3 80 0
## 656 3 3 80 1
## 657 3 4 80 2
## 658 4 1 80 1
## 659 3 4 80 0
## 660 3 3 80 0
## 661 3 4 80 2
## 662 3 3 80 1
## 663 3 2 80 1
## 664 4 1 80 1
## 665 4 3 80 0
## 666 3 4 80 0
## 667 3 4 80 1
## 668 3 1 80 3
## 669 3 1 80 1
## 670 3 1 80 0
## 671 3 1 80 0
## 672 3 3 80 2
## 673 3 4 80 0
## 674 3 1 80 1
## 675 3 1 80 0
## 676 3 3 80 1
## 677 3 1 80 1
## 678 3 1 80 1
## 679 3 2 80 3
## 680 3 2 80 0
## 681 3 1 80 0
## 682 4 1 80 1
## 683 3 2 80 2
## 684 3 2 80 1
## 685 3 3 80 1
## 686 4 4 80 1
## 687 3 1 80 0
## 688 4 4 80 0
## 689 4 3 80 0
## 690 3 4 80 3
## 691 3 3 80 0
## 692 3 4 80 1
## 693 4 2 80 0
## 694 4 3 80 0
## 695 3 3 80 2
## 696 3 1 80 0
## 697 4 2 80 1
## 698 3 4 80 0
## 699 3 3 80 0
## 700 3 1 80 1
## 701 3 4 80 0
## 702 4 1 80 0
## 703 3 2 80 1
## 704 3 3 80 0
## 705 3 4 80 0
## 706 3 4 80 0
## 707 3 2 80 1
## 708 3 4 80 0
## 709 3 2 80 1
## 710 3 4 80 1
## 711 4 4 80 2
## 712 3 3 80 1
## 713 3 3 80 0
## 714 3 1 80 1
## 715 3 2 80 0
## 716 3 3 80 1
## 717 3 1 80 1
## 718 3 4 80 0
## 719 4 1 80 0
## 720 3 2 80 3
## 721 3 3 80 1
## 722 3 1 80 3
## 723 3 3 80 2
## 724 3 2 80 0
## 725 3 4 80 0
## 726 3 4 80 2
## 727 3 2 80 1
## 728 3 4 80 1
## 729 3 2 80 0
## 730 3 3 80 1
## 731 4 3 80 1
## 732 3 1 80 0
## 733 3 1 80 0
## 734 3 4 80 0
## 735 3 3 80 0
## 736 3 2 80 0
## 737 3 1 80 1
## 738 3 4 80 0
## 739 3 2 80 0
## 740 3 4 80 0
## 741 3 4 80 0
## 742 4 3 80 1
## 743 3 1 80 0
## 744 3 3 80 0
## 745 4 2 80 1
## 746 3 2 80 3
## 747 3 4 80 3
## 748 4 3 80 0
## 749 3 2 80 3
## 750 3 1 80 0
## 751 3 2 80 0
## 752 3 1 80 0
## 753 3 3 80 1
## 754 4 3 80 3
## 755 3 1 80 1
## 756 3 3 80 0
## 757 4 4 80 1
## 758 3 2 80 1
## 759 3 4 80 1
## 760 3 1 80 0
## 761 4 3 80 0
## 762 3 3 80 1
## 763 3 1 80 0
## 764 3 1 80 1
## 765 3 3 80 1
## 766 3 1 80 0
## 767 3 3 80 0
## 768 3 3 80 1
## 769 3 3 80 1
## 770 3 4 80 1
## 771 3 3 80 0
## 772 4 3 80 3
## 773 4 4 80 0
## 774 3 1 80 1
## 775 3 3 80 1
## 776 3 4 80 0
## 777 4 1 80 1
## 778 3 3 80 3
## 779 4 3 80 0
## 780 3 2 80 3
## 781 4 4 80 0
## 782 3 1 80 0
## 783 3 3 80 1
## 784 3 1 80 1
## 785 3 4 80 1
## 786 3 3 80 0
## 787 3 4 80 0
## 788 3 1 80 0
## 789 3 2 80 3
## 790 3 4 80 0
## 791 4 1 80 1
## 792 3 4 80 0
## 793 3 4 80 1
## 794 3 2 80 3
## 795 3 1 80 2
## 796 3 1 80 0
## 797 3 2 80 0
## 798 3 3 80 0
## 799 4 2 80 0
## 800 4 1 80 1
## 801 3 1 80 2
## 802 3 3 80 0
## 803 3 4 80 0
## 804 4 1 80 0
## 805 3 3 80 1
## 806 3 4 80 1
## 807 3 2 80 0
## 808 4 1 80 2
## 809 3 2 80 1
## 810 3 4 80 1
## 811 3 3 80 2
## 812 3 2 80 1
## 813 3 4 80 1
## 814 3 3 80 1
## 815 3 4 80 1
## 816 3 2 80 1
## 817 4 2 80 0
## 818 3 4 80 0
## 819 3 4 80 0
## 820 3 4 80 0
## 821 3 4 80 2
## 822 3 4 80 1
## 823 4 4 80 2
## 824 3 3 80 1
## 825 3 2 80 2
## 826 3 4 80 2
## 827 3 1 80 3
## 828 3 4 80 0
## 829 3 2 80 1
## 830 3 3 80 1
## 831 3 3 80 1
## 832 3 4 80 0
## 833 3 3 80 3
## 834 4 3 80 0
## 835 3 4 80 1
## 836 3 4 80 1
## 837 3 4 80 0
## 838 3 4 80 0
## 839 3 3 80 1
## 840 3 4 80 0
## 841 3 3 80 0
## 842 3 1 80 0
## 843 4 3 80 0
## 844 3 4 80 1
## 845 3 1 80 0
## 846 3 4 80 1
## 847 3 4 80 0
## 848 3 1 80 3
## 849 3 1 80 2
## 850 3 1 80 1
## 851 3 3 80 1
## 852 3 1 80 0
## 853 3 4 80 0
## 854 3 3 80 0
## 855 3 4 80 0
## 856 3 1 80 1
## 857 3 3 80 0
## 858 4 1 80 1
## 859 4 4 80 1
## 860 3 4 80 1
## 861 3 2 80 0
## 862 3 4 80 0
## 863 3 2 80 0
## 864 3 4 80 2
## 865 3 4 80 2
## 866 3 3 80 0
## 867 3 1 80 0
## 868 3 3 80 1
## 869 3 3 80 1
## 870 3 4 80 0
## TotalWorkingYears TrainingTimesLastYear WorkLifeBalance YearsAtCompany
## 1 8 3 2 5
## 2 21 2 4 20
## 3 10 2 3 2
## 4 14 3 3 14
## 5 6 2 3 6
## 6 9 4 2 9
## 7 7 5 2 4
## 8 8 5 3 1
## 9 1 2 3 1
## 10 8 3 2 8
## 11 21 2 3 16
## 12 3 2 3 3
## 13 17 3 4 8
## 14 1 3 3 1
## 15 10 3 4 7
## 16 9 2 2 9
## 17 8 2 4 8
## 18 7 2 4 1
## 19 6 3 3 5
## 20 10 5 3 2
## 21 13 2 3 3
## 22 12 3 3 2
## 23 10 3 3 8
## 24 10 3 3 5
## 25 6 3 3 5
## 26 26 5 3 22
## 27 10 3 3 9
## 28 6 3 3 5
## 29 15 2 2 2
## 30 5 3 3 4
## 31 9 2 4 8
## 32 14 6 3 14
## 33 28 2 2 7
## 34 10 2 3 8
## 35 8 1 3 1
## 36 5 3 1 5
## 37 15 3 3 13
## 38 16 3 3 2
## 39 36 4 3 7
## 40 3 4 3 2
## 41 37 0 2 16
## 42 9 3 3 8
## 43 17 2 2 2
## 44 24 2 3 1
## 45 1 2 3 1
## 46 12 3 3 12
## 47 10 2 3 0
## 48 9 2 3 8
## 49 0 3 3 0
## 50 6 1 1 2
## 51 8 3 2 0
## 52 32 3 3 9
## 53 10 5 3 10
## 54 9 5 2 9
## 55 11 2 3 11
## 56 5 2 3 5
## 57 7 2 3 2
## 58 10 3 3 10
## 59 15 2 3 5
## 60 1 4 3 1
## 61 16 6 3 16
## 62 10 0 3 7
## 63 3 1 3 2
## 64 0 4 1 0
## 65 1 3 1 1
## 66 7 5 2 6
## 67 17 3 3 17
## 68 5 6 4 5
## 69 5 2 2 3
## 70 17 3 3 17
## 71 12 3 3 5
## 72 6 4 3 5
## 73 8 1 3 1
## 74 6 4 3 1
## 75 10 2 2 8
## 76 12 2 3 12
## 77 10 3 3 10
## 78 27 5 1 26
## 79 23 2 3 19
## 80 1 4 3 1
## 81 15 2 1 1
## 82 17 3 3 7
## 83 10 1 3 8
## 84 13 2 3 7
## 85 18 2 3 16
## 86 30 4 3 5
## 87 20 2 3 7
## 88 5 2 1 4
## 89 9 0 3 9
## 90 22 2 2 2
## 91 1 3 3 1
## 92 11 3 1 11
## 93 7 3 3 0
## 94 10 4 3 5
## 95 21 5 3 5
## 96 20 3 3 20
## 97 23 2 4 13
## 98 17 2 4 1
## 99 4 3 3 3
## 100 7 2 2 5
## 101 6 3 4 5
## 102 13 5 3 13
## 103 6 3 3 3
## 104 5 3 4 3
## 105 35 2 2 9
## 106 8 2 3 8
## 107 10 1 3 10
## 108 35 0 3 10
## 109 13 2 4 9
## 110 4 4 3 4
## 111 3 2 3 3
## 112 26 2 2 9
## 113 18 4 3 8
## 114 16 2 4 1
## 115 15 2 3 7
## 116 10 2 3 10
## 117 5 4 3 4
## 118 10 2 3 4
## 119 13 2 3 9
## 120 14 2 4 14
## 121 10 2 3 8
## 122 2 6 3 2
## 123 18 2 3 5
## 124 8 2 3 7
## 125 10 3 2 10
## 126 10 2 3 10
## 127 10 5 3 10
## 128 10 2 2 9
## 129 20 3 1 20
## 130 25 5 3 19
## 131 10 3 2 10
## 132 8 1 4 5
## 133 7 4 4 6
## 134 7 3 3 5
## 135 9 3 4 9
## 136 8 2 3 8
## 137 1 1 3 1
## 138 22 2 3 10
## 139 8 2 1 2
## 140 12 3 3 5
## 141 33 0 3 19
## 142 2 3 3 2
## 143 13 3 3 8
## 144 7 5 4 5
## 145 15 0 3 12
## 146 4 3 2 4
## 147 8 5 3 8
## 148 8 6 1 2
## 149 6 2 3 4
## 150 6 5 2 5
## 151 9 2 1 3
## 152 10 2 2 10
## 153 13 3 2 13
## 154 11 3 1 3
## 155 1 3 3 1
## 156 4 2 4 2
## 157 15 4 3 11
## 158 21 4 3 18
## 159 18 1 3 8
## 160 20 6 3 1
## 161 10 1 2 10
## 162 10 2 2 10
## 163 6 3 3 5
## 164 10 1 3 3
## 165 12 3 2 11
## 166 2 3 2 2
## 167 27 2 3 4
## 168 10 2 3 6
## 169 18 3 3 10
## 170 11 1 3 7
## 171 10 2 2 8
## 172 16 4 4 8
## 173 28 3 2 2
## 174 10 3 3 9
## 175 22 3 4 17
## 176 2 6 4 2
## 177 24 2 3 5
## 178 6 2 3 3
## 179 9 2 3 9
## 180 12 2 4 8
## 181 15 2 4 7
## 182 11 3 3 7
## 183 18 2 3 3
## 184 9 3 3 2
## 185 8 3 3 8
## 186 5 3 2 5
## 187 7 6 3 7
## 188 29 2 3 3
## 189 28 4 2 10
## 190 5 3 4 5
## 191 11 2 3 10
## 192 9 3 3 3
## 193 19 5 2 10
## 194 14 2 3 9
## 195 5 2 3 4
## 196 1 0 2 1
## 197 10 4 3 4
## 198 22 3 3 9
## 199 24 4 3 22
## 200 1 2 3 1
## 201 22 2 2 1
## 202 10 3 3 10
## 203 14 3 3 14
## 204 10 4 3 7
## 205 6 5 3 4
## 206 8 0 3 8
## 207 7 2 2 4
## 208 17 2 3 1
## 209 8 3 3 3
## 210 12 2 3 9
## 211 21 3 3 20
## 212 21 3 4 1
## 213 4 2 3 1
## 214 8 4 3 4
## 215 5 0 3 4
## 216 8 3 4 3
## 217 18 4 3 1
## 218 24 3 3 22
## 219 5 4 2 5
## 220 8 2 2 8
## 221 6 5 3 6
## 222 5 4 3 1
## 223 7 2 3 6
## 224 1 2 1 1
## 225 10 0 4 5
## 226 12 6 2 12
## 227 1 3 3 1
## 228 4 2 2 4
## 229 4 2 2 3
## 230 30 3 3 15
## 231 10 3 3 10
## 232 2 3 3 2
## 233 25 3 1 23
## 234 16 4 3 6
## 235 25 3 4 25
## 236 17 2 1 14
## 237 24 2 2 22
## 238 6 2 2 6
## 239 6 3 3 2
## 240 19 3 3 14
## 241 10 5 2 10
## 242 22 4 3 0
## 243 6 3 3 5
## 244 6 2 3 3
## 245 10 2 2 10
## 246 8 5 3 4
## 247 11 2 2 11
## 248 3 2 3 2
## 249 12 4 2 6
## 250 22 2 3 18
## 251 1 2 2 1
## 252 12 3 3 7
## 253 1 3 3 1
## 254 2 4 3 1
## 255 16 5 3 9
## 256 7 2 2 3
## 257 2 5 2 2
## 258 8 3 3 3
## 259 9 3 3 5
## 260 7 2 2 2
## 261 3 3 4 1
## 262 11 2 1 9
## 263 8 2 1 5
## 264 3 5 3 3
## 265 6 2 3 5
## 266 6 5 3 5
## 267 16 3 2 14
## 268 1 2 3 1
## 269 9 2 3 9
## 270 7 1 2 6
## 271 10 3 4 8
## 272 11 2 3 11
## 273 9 5 3 9
## 274 11 3 2 3
## 275 36 3 3 24
## 276 28 2 3 5
## 277 2 1 3 2
## 278 9 5 3 8
## 279 6 1 3 6
## 280 4 2 3 3
## 281 10 3 3 10
## 282 20 3 3 18
## 283 12 3 3 5
## 284 13 3 3 7
## 285 7 2 4 7
## 286 15 3 3 15
## 287 1 2 3 1
## 288 3 2 3 2
## 289 10 6 3 9
## 290 3 1 2 3
## 291 8 2 3 5
## 292 11 3 3 9
## 293 7 2 2 7
## 294 14 3 1 13
## 295 21 2 3 21
## 296 5 3 3 2
## 297 10 2 2 10
## 298 9 3 3 9
## 299 4 0 3 3
## 300 5 4 2 3
## 301 10 3 3 10
## 302 9 3 2 9
## 303 8 1 3 4
## 304 10 5 3 10
## 305 7 4 3 1
## 306 6 2 2 5
## 307 8 5 3 1
## 308 6 2 3 0
## 309 17 3 3 8
## 310 4 4 3 3
## 311 9 3 2 2
## 312 22 3 3 20
## 313 7 2 1 7
## 314 10 2 3 1
## 315 10 1 3 2
## 316 9 0 3 9
## 317 6 3 3 4
## 318 4 2 2 4
## 319 8 2 4 5
## 320 1 2 3 1
## 321 5 3 3 3
## 322 10 4 2 10
## 323 10 3 2 5
## 324 19 2 3 16
## 325 21 3 3 21
## 326 1 2 3 1
## 327 23 4 2 22
## 328 9 3 2 4
## 329 20 3 3 20
## 330 21 5 3 20
## 331 23 2 3 8
## 332 14 2 2 14
## 333 6 2 2 5
## 334 9 3 3 9
## 335 30 3 3 3
## 336 14 4 3 13
## 337 5 3 3 5
## 338 7 1 2 6
## 339 5 4 3 0
## 340 1 6 3 1
## 341 6 3 4 1
## 342 2 2 3 2
## 343 9 2 3 3
## 344 1 2 3 1
## 345 8 3 3 4
## 346 21 3 3 20
## 347 5 3 2 3
## 348 6 6 1 6
## 349 6 3 3 0
## 350 30 1 2 10
## 351 18 3 4 13
## 352 10 3 2 8
## 353 16 3 1 1
## 354 8 2 3 2
## 355 23 3 4 22
## 356 15 2 3 13
## 357 5 3 2 5
## 358 6 2 4 2
## 359 9 3 3 9
## 360 16 4 3 15
## 361 34 5 3 33
## 362 1 3 3 1
## 363 33 3 3 32
## 364 22 5 3 21
## 365 23 5 3 19
## 366 36 0 2 7
## 367 15 2 4 11
## 368 9 5 4 8
## 369 4 2 3 2
## 370 10 0 2 7
## 371 4 1 3 4
## 372 10 3 3 9
## 373 24 2 3 24
## 374 8 2 1 8
## 375 2 3 3 2
## 376 32 2 3 32
## 377 18 1 3 17
## 378 14 4 3 0
## 379 6 2 2 5
## 380 7 2 3 5
## 381 21 2 3 3
## 382 8 3 3 8
## 383 15 3 3 2
## 384 3 3 3 0
## 385 18 2 4 10
## 386 15 3 3 15
## 387 10 3 4 10
## 388 8 2 4 3
## 389 17 2 2 13
## 390 3 3 3 3
## 391 6 1 3 3
## 392 5 2 2 2
## 393 4 3 4 4
## 394 22 5 4 18
## 395 8 2 3 2
## 396 3 2 1 2
## 397 26 2 1 3
## 398 2 0 3 2
## 399 13 2 2 13
## 400 16 2 2 2
## 401 11 2 3 5
## 402 11 5 3 5
## 403 7 2 3 2
## 404 9 6 3 3
## 405 6 3 2 6
## 406 21 3 2 1
## 407 13 3 3 12
## 408 7 4 3 7
## 409 31 3 3 25
## 410 22 3 3 4
## 411 6 3 3 5
## 412 10 3 3 10
## 413 8 1 3 1
## 414 4 2 4 0
## 415 3 3 2 2
## 416 15 6 3 7
## 417 12 2 2 11
## 418 4 2 3 1
## 419 14 2 2 14
## 420 10 2 3 10
## 421 5 2 3 5
## 422 15 2 3 13
## 423 12 3 2 7
## 424 0 5 4 0
## 425 5 0 3 5
## 426 18 5 3 1
## 427 1 2 2 1
## 428 3 4 4 3
## 429 4 2 1 3
## 430 13 3 3 11
## 431 5 3 3 5
## 432 6 0 3 4
## 433 20 2 3 4
## 434 1 2 3 1
## 435 11 2 2 1
## 436 8 3 3 8
## 437 5 3 2 2
## 438 8 6 2 7
## 439 3 2 3 3
## 440 10 4 2 9
## 441 10 2 3 8
## 442 9 2 3 5
## 443 5 5 1 0
## 444 8 2 3 2
## 445 24 3 3 2
## 446 17 2 2 6
## 447 19 4 4 13
## 448 10 2 2 0
## 449 10 2 3 10
## 450 10 2 3 10
## 451 10 6 3 9
## 452 6 3 2 5
## 453 10 2 3 10
## 454 10 2 2 10
## 455 21 3 1 3
## 456 21 3 2 21
## 457 10 2 3 10
## 458 11 2 1 10
## 459 5 3 4 3
## 460 10 2 2 10
## 461 8 4 3 2
## 462 15 4 3 4
## 463 16 3 3 2
## 464 9 3 2 5
## 465 6 4 3 1
## 466 6 3 3 3
## 467 7 3 2 3
## 468 5 3 3 1
## 469 7 6 3 2
## 470 5 3 3 4
## 471 6 3 2 5
## 472 1 3 2 1
## 473 17 3 4 0
## 474 9 2 2 6
## 475 4 5 2 4
## 476 14 4 3 9
## 477 9 2 3 1
## 478 8 5 3 0
## 479 12 2 1 5
## 480 16 2 3 16
## 481 6 5 2 5
## 482 8 2 3 6
## 483 16 3 3 15
## 484 19 3 3 2
## 485 40 3 2 40
## 486 8 0 1 6
## 487 1 3 2 1
## 488 5 1 2 5
## 489 23 2 3 1
## 490 10 2 3 5
## 491 22 4 3 3
## 492 25 2 3 3
## 493 8 2 3 5
## 494 11 3 1 11
## 495 10 4 3 10
## 496 29 2 2 20
## 497 8 3 2 2
## 498 4 3 2 4
## 499 17 3 2 7
## 500 10 1 3 3
## 501 31 0 2 10
## 502 6 4 3 4
## 503 19 3 3 9
## 504 10 1 3 10
## 505 26 2 4 20
## 506 12 2 3 7
## 507 1 2 3 1
## 508 14 5 3 4
## 509 13 2 3 9
## 510 23 0 3 22
## 511 10 1 3 10
## 512 13 2 3 6
## 513 10 3 2 5
## 514 15 1 3 15
## 515 3 3 2 3
## 516 13 3 3 4
## 517 1 2 3 1
## 518 7 6 2 5
## 519 10 6 3 9
## 520 5 3 3 4
## 521 6 3 3 5
## 522 1 3 3 1
## 523 25 2 3 1
## 524 31 5 3 31
## 525 7 6 3 1
## 526 30 2 3 15
## 527 9 3 4 5
## 528 6 2 2 6
## 529 6 3 3 6
## 530 7 2 3 5
## 531 20 4 2 19
## 532 15 5 3 1
## 533 10 3 3 10
## 534 9 6 3 5
## 535 7 4 2 7
## 536 7 3 4 5
## 537 10 2 3 1
## 538 4 5 3 3
## 539 6 4 3 5
## 540 9 3 4 6
## 541 10 4 2 10
## 542 14 1 3 10
## 543 1 2 2 1
## 544 14 3 3 1
## 545 6 3 3 6
## 546 10 3 3 10
## 547 29 3 2 26
## 548 10 6 3 1
## 549 19 2 3 10
## 550 6 3 3 6
## 551 22 3 3 22
## 552 6 6 3 5
## 553 10 2 2 10
## 554 13 2 2 0
## 555 5 5 1 3
## 556 17 3 2 3
## 557 19 3 3 1
## 558 6 3 3 6
## 559 10 3 2 9
## 560 8 3 3 8
## 561 13 3 2 8
## 562 23 3 3 2
## 563 4 2 3 2
## 564 13 2 4 11
## 565 7 2 3 2
## 566 6 2 3 4
## 567 9 5 3 6
## 568 10 4 3 10
## 569 10 6 3 5
## 570 22 2 3 12
## 571 14 3 3 5
## 572 1 3 2 1
## 573 7 2 3 7
## 574 10 5 3 10
## 575 6 5 4 5
## 576 7 2 4 7
## 577 20 3 2 1
## 578 7 5 3 5
## 579 10 2 1 9
## 580 6 2 3 6
## 581 7 6 2 3
## 582 16 2 3 1
## 583 15 2 3 1
## 584 8 2 3 8
## 585 9 5 4 4
## 586 15 2 4 7
## 587 17 3 3 13
## 588 10 4 3 5
## 589 8 6 3 3
## 590 4 3 3 2
## 591 4 2 2 4
## 592 16 2 4 15
## 593 5 3 4 3
## 594 10 3 2 9
## 595 18 2 3 18
## 596 9 5 3 9
## 597 16 2 3 13
## 598 20 3 3 1
## 599 6 0 3 6
## 600 6 2 2 2
## 601 1 2 3 1
## 602 9 3 2 6
## 603 9 4 2 8
## 604 10 5 3 10
## 605 2 3 3 2
## 606 32 3 3 5
## 607 20 2 2 4
## 608 8 3 3 8
## 609 8 2 3 7
## 610 3 2 2 2
## 611 10 0 3 9
## 612 10 3 3 8
## 613 13 3 4 9
## 614 1 3 4 1
## 615 10 2 4 8
## 616 15 3 4 15
## 617 8 5 3 5
## 618 9 2 2 4
## 619 9 5 3 7
## 620 1 3 3 1
## 621 1 5 3 1
## 622 20 3 4 19
## 623 10 2 3 4
## 624 9 2 3 9
## 625 8 2 2 0
## 626 5 2 3 5
## 627 5 3 3 5
## 628 12 3 3 11
## 629 23 4 3 3
## 630 9 3 4 8
## 631 19 2 4 5
## 632 14 3 2 14
## 633 19 1 3 1
## 634 7 2 3 1
## 635 10 1 2 1
## 636 2 2 4 2
## 637 23 3 3 22
## 638 9 2 2 8
## 639 6 3 3 6
## 640 5 3 3 4
## 641 1 2 3 1
## 642 15 3 3 7
## 643 31 3 4 9
## 644 5 2 3 5
## 645 5 2 1 1
## 646 15 2 2 12
## 647 0 0 3 0
## 648 3 3 4 3
## 649 16 2 3 15
## 650 10 3 1 4
## 651 3 3 3 3
## 652 12 3 3 11
## 653 20 3 2 18
## 654 15 3 1 0
## 655 4 3 3 2
## 656 5 3 3 5
## 657 16 5 1 10
## 658 26 2 3 14
## 659 8 3 3 5
## 660 6 3 3 6
## 661 10 2 3 10
## 662 14 3 3 7
## 663 13 5 2 10
## 664 3 4 2 3
## 665 10 2 3 9
## 666 10 5 4 3
## 667 11 5 3 11
## 668 8 2 3 4
## 669 10 3 3 10
## 670 36 2 3 10
## 671 16 3 4 5
## 672 6 5 3 6
## 673 5 5 3 4
## 674 10 3 2 10
## 675 5 0 3 3
## 676 26 2 3 11
## 677 10 2 3 9
## 678 10 2 4 10
## 679 18 3 3 4
## 680 13 2 4 7
## 681 5 1 4 5
## 682 8 1 3 3
## 683 10 2 2 3
## 684 12 2 1 5
## 685 5 2 1 5
## 686 13 6 4 13
## 687 9 1 3 8
## 688 7 3 3 3
## 689 1 3 2 1
## 690 13 3 3 11
## 691 10 2 3 6
## 692 10 2 2 10
## 693 14 6 3 1
## 694 3 4 3 1
## 695 6 2 2 6
## 696 3 3 2 3
## 697 23 3 3 2
## 698 16 3 4 13
## 699 0 2 4 0
## 700 25 2 3 4
## 701 1 3 3 1
## 702 6 3 2 6
## 703 16 6 2 13
## 704 6 3 3 5
## 705 7 2 2 2
## 706 16 3 3 14
## 707 14 2 2 7
## 708 8 3 3 3
## 709 5 3 3 5
## 710 31 3 3 31
## 711 9 2 3 9
## 712 32 3 2 1
## 713 7 4 2 1
## 714 16 2 3 13
## 715 10 1 3 10
## 716 1 2 3 1
## 717 10 3 3 10
## 718 10 4 4 8
## 719 13 2 4 11
## 720 10 3 2 9
## 721 10 2 3 10
## 722 9 2 2 4
## 723 10 2 3 4
## 724 15 2 2 14
## 725 8 3 3 0
## 726 5 3 3 4
## 727 10 3 3 5
## 728 5 4 4 5
## 729 1 3 1 1
## 730 3 2 3 2
## 731 4 2 4 1
## 732 12 3 2 1
## 733 1 2 3 1
## 734 6 2 3 4
## 735 1 4 1 1
## 736 9 5 2 8
## 737 21 2 2 20
## 738 13 2 3 6
## 739 5 3 3 5
## 740 9 3 3 3
## 741 6 3 3 2
## 742 10 3 2 5
## 743 10 2 3 10
## 744 3 3 1 3
## 745 6 3 2 5
## 746 2 3 3 1
## 747 4 3 3 2
## 748 14 3 3 13
## 749 6 2 4 6
## 750 4 2 4 3
## 751 2 3 3 2
## 752 3 2 4 3
## 753 32 3 3 30
## 754 14 2 3 8
## 755 16 5 1 4
## 756 9 5 3 5
## 757 10 2 1 10
## 758 20 0 2 3
## 759 7 5 2 0
## 760 26 2 3 24
## 761 3 5 3 0
## 762 26 3 2 26
## 763 19 4 3 19
## 764 19 3 3 18
## 765 4 1 1 3
## 766 10 3 3 10
## 767 10 3 3 10
## 768 20 2 3 1
## 769 12 3 2 6
## 770 15 2 3 15
## 771 9 6 2 7
## 772 24 2 3 24
## 773 20 1 3 19
## 774 2 0 2 1
## 775 24 3 1 20
## 776 2 3 3 2
## 777 6 3 4 5
## 778 1 3 3 1
## 779 7 5 3 7
## 780 4 3 4 2
## 781 4 5 2 4
## 782 20 4 3 20
## 783 7 4 4 4
## 784 10 3 2 10
## 785 4 3 1 1
## 786 9 3 4 3
## 787 15 2 3 2
## 788 11 3 2 8
## 789 34 2 3 1
## 790 2 3 2 2
## 791 10 3 3 3
## 792 9 3 3 3
## 793 10 6 4 5
## 794 17 2 3 17
## 795 7 0 3 7
## 796 10 3 3 10
## 797 21 2 3 20
## 798 1 6 3 1
## 799 1 2 4 1
## 800 13 3 3 5
## 801 10 3 3 5
## 802 10 2 4 6
## 803 21 3 3 21
## 804 9 2 3 8
## 805 17 3 4 3
## 806 15 1 3 12
## 807 6 3 2 3
## 808 2 6 3 2
## 809 10 2 2 10
## 810 6 3 2 5
## 811 12 4 3 12
## 812 7 2 2 3
## 813 5 2 4 5
## 814 27 2 3 5
## 815 3 3 3 2
## 816 15 5 3 14
## 817 12 4 2 0
## 818 14 3 4 13
## 819 6 3 3 5
## 820 6 0 3 2
## 821 6 3 3 3
## 822 10 2 3 3
## 823 8 2 3 8
## 824 2 5 2 2
## 825 7 2 3 3
## 826 23 0 3 2
## 827 10 2 3 1
## 828 4 3 3 3
## 829 9 4 2 6
## 830 32 2 3 32
## 831 9 2 3 9
## 832 0 2 2 0
## 833 6 2 3 6
## 834 1 4 3 1
## 835 34 3 3 33
## 836 9 6 3 9
## 837 8 2 3 6
## 838 10 3 3 10
## 839 28 4 3 22
## 840 29 3 3 22
## 841 0 2 3 0
## 842 10 3 2 10
## 843 31 3 3 9
## 844 10 0 2 9
## 845 6 3 3 2
## 846 10 2 3 10
## 847 1 3 3 1
## 848 19 5 2 18
## 849 8 6 3 6
## 850 8 3 3 7
## 851 4 2 3 2
## 852 10 5 3 10
## 853 10 3 3 9
## 854 9 2 3 8
## 855 4 2 3 3
## 856 1 3 3 1
## 857 8 5 3 5
## 858 10 2 3 10
## 859 7 2 3 5
## 860 10 2 3 10
## 861 8 6 2 7
## 862 23 3 4 21
## 863 9 3 2 5
## 864 28 2 2 22
## 865 10 4 4 3
## 866 11 2 3 10
## 867 4 2 3 3
## 868 11 4 2 5
## 869 7 2 2 3
## 870 10 5 3 6
## YearsInCurrentRole YearsSinceLastPromotion YearsWithCurrManager
## 1 2 0 3
## 2 7 4 9
## 3 2 2 2
## 4 10 5 7
## 5 3 1 3
## 6 7 1 7
## 7 2 0 3
## 8 0 0 0
## 9 1 0 0
## 10 2 7 7
## 11 12 6 14
## 12 2 2 2
## 13 5 1 6
## 14 0 0 0
## 15 6 5 7
## 16 8 0 0
## 17 7 6 3
## 18 0 0 0
## 19 0 1 2
## 20 0 2 2
## 21 2 0 2
## 22 2 2 2
## 23 7 4 7
## 24 2 0 3
## 25 0 1 4
## 26 9 3 10
## 27 8 7 7
## 28 2 0 3
## 29 2 2 2
## 30 3 1 2
## 31 7 0 7
## 32 11 2 13
## 33 7 7 7
## 34 0 1 7
## 35 0 0 0
## 36 1 0 3
## 37 12 6 0
## 38 2 2 2
## 39 3 7 7
## 40 2 2 2
## 41 9 14 14
## 42 7 3 1
## 43 2 2 2
## 44 0 0 1
## 45 0 0 1
## 46 9 5 8
## 47 0 0 0
## 48 7 2 7
## 49 0 0 0
## 50 2 2 2
## 51 0 0 0
## 52 8 1 5
## 53 5 7 7
## 54 7 0 8
## 55 7 1 8
## 56 3 0 4
## 57 2 2 2
## 58 9 1 5
## 59 2 0 2
## 60 0 1 0
## 61 7 3 7
## 62 7 1 7
## 63 2 1 2
## 64 0 0 0
## 65 0 0 0
## 66 2 0 5
## 67 11 11 8
## 68 2 1 4
## 69 2 1 2
## 70 12 5 7
## 71 3 1 0
## 72 4 1 3
## 73 0 0 1
## 74 0 0 0
## 75 7 7 7
## 76 8 3 7
## 77 9 8 6
## 78 0 0 12
## 79 7 12 8
## 80 0 0 0
## 81 0 0 0
## 82 7 0 7
## 83 3 7 7
## 84 7 6 7
## 85 14 5 12
## 86 3 4 3
## 87 7 1 7
## 88 2 0 2
## 89 8 1 7
## 90 2 2 1
## 91 0 0 0
## 92 8 3 10
## 93 0 0 0
## 94 2 0 4
## 95 4 4 4
## 96 16 11 6
## 97 12 5 1
## 98 0 0 0
## 99 2 0 2
## 100 4 0 2
## 101 0 1 4
## 102 7 9 9
## 103 2 1 2
## 104 2 0 2
## 105 8 8 8
## 106 7 0 7
## 107 7 0 9
## 108 9 1 4
## 109 7 3 7
## 110 2 1 2
## 111 1 0 2
## 112 8 7 8
## 113 6 4 0
## 114 0 0 0
## 115 7 1 7
## 116 0 0 9
## 117 3 1 1
## 118 3 0 3
## 119 8 1 8
## 120 11 4 11
## 121 7 0 5
## 122 2 1 2
## 123 4 0 2
## 124 7 0 5
## 125 7 0 9
## 126 8 0 9
## 127 2 6 7
## 128 8 3 8
## 129 7 1 8
## 130 17 2 8
## 131 0 0 9
## 132 1 0 4
## 133 5 0 4
## 134 4 1 0
## 135 7 0 0
## 136 7 3 7
## 137 0 0 0
## 138 7 0 8
## 139 2 2 2
## 140 3 1 3
## 141 16 15 9
## 142 2 2 2
## 143 7 0 7
## 144 4 0 1
## 145 11 11 8
## 146 3 0 2
## 147 7 1 6
## 148 2 2 2
## 149 3 1 2
## 150 3 0 0
## 151 1 1 2
## 152 7 0 8
## 153 8 4 8
## 154 2 1 2
## 155 0 1 0
## 156 2 2 2
## 157 8 5 10
## 158 7 11 5
## 159 7 0 1
## 160 0 0 0
## 161 8 3 0
## 162 7 1 9
## 163 0 1 2
## 164 2 0 2
## 165 9 6 9
## 166 2 0 2
## 167 2 1 2
## 168 1 0 5
## 169 9 6 9
## 170 5 1 7
## 171 7 7 7
## 172 7 1 7
## 173 2 1 2
## 174 8 0 8
## 175 13 15 2
## 176 2 2 2
## 177 2 1 4
## 178 2 1 2
## 179 8 3 7
## 180 3 0 7
## 181 7 6 4
## 182 7 1 7
## 183 2 1 2
## 184 0 2 2
## 185 3 0 7
## 186 2 0 4
## 187 7 0 7
## 188 2 1 2
## 189 4 1 6
## 190 4 0 4
## 191 8 1 9
## 192 2 2 2
## 193 7 0 8
## 194 7 6 7
## 195 3 1 1
## 196 0 0 0
## 197 2 0 3
## 198 8 2 3
## 199 6 5 17
## 200 0 0 0
## 201 0 0 0
## 202 4 0 9
## 203 13 6 8
## 204 7 3 7
## 205 3 1 2
## 206 7 7 1
## 207 3 1 3
## 208 0 0 0
## 209 2 2 2
## 210 7 0 7
## 211 7 0 10
## 212 0 0 0
## 213 0 0 0
## 214 3 0 2
## 215 2 1 1
## 216 1 1 2
## 217 0 0 0
## 218 17 4 7
## 219 4 0 4
## 220 5 2 2
## 221 5 1 4
## 222 1 0 0
## 223 5 1 2
## 224 0 0 0
## 225 2 0 3
## 226 8 1 7
## 227 0 0 0
## 228 2 2 2
## 229 2 0 2
## 230 11 2 12
## 231 7 3 9
## 232 2 2 2
## 233 5 14 10
## 234 2 0 5
## 235 12 4 12
## 236 1 11 7
## 237 6 4 14
## 238 4 0 5
## 239 0 1 2
## 240 11 1 11
## 241 9 5 8
## 242 0 0 0
## 243 4 0 4
## 244 2 2 2
## 245 7 1 2
## 246 3 0 3
## 247 9 4 10
## 248 2 2 2
## 249 2 3 3
## 250 16 11 8
## 251 1 0 0
## 252 7 0 7
## 253 0 0 0
## 254 0 0 0
## 255 8 4 8
## 256 2 1 2
## 257 2 2 2
## 258 2 0 2
## 259 3 1 0
## 260 2 0 2
## 261 0 0 0
## 262 7 0 7
## 263 4 0 4
## 264 1 0 2
## 265 3 1 2
## 266 4 0 3
## 267 8 6 9
## 268 0 0 0
## 269 7 2 8
## 270 2 0 2
## 271 7 5 7
## 272 8 7 9
## 273 8 5 8
## 274 2 0 2
## 275 15 2 15
## 276 2 4 2
## 277 1 1 2
## 278 7 1 7
## 279 4 0 3
## 280 2 1 2
## 281 9 8 8
## 282 13 2 17
## 283 3 0 3
## 284 7 1 7
## 285 6 5 0
## 286 14 5 7
## 287 0 0 0
## 288 2 1 2
## 289 7 2 8
## 290 2 0 2
## 291 3 0 2
## 292 8 0 8
## 293 7 0 3
## 294 8 5 12
## 295 7 7 7
## 296 2 2 2
## 297 9 1 9
## 298 7 0 6
## 299 2 1 2
## 300 2 2 2
## 301 8 5 3
## 302 8 1 8
## 303 2 1 2
## 304 7 0 8
## 305 0 0 0
## 306 2 3 4
## 307 0 0 0
## 308 0 0 0
## 309 7 6 7
## 310 2 1 2
## 311 2 2 1
## 312 6 5 13
## 313 2 7 7
## 314 0 0 0
## 315 2 2 2
## 316 0 0 7
## 317 3 1 2
## 318 3 1 2
## 319 4 1 4
## 320 0 0 1
## 321 0 0 2
## 322 9 8 8
## 323 4 0 3
## 324 13 1 7
## 325 6 11 8
## 326 1 0 0
## 327 7 1 10
## 328 3 1 2
## 329 11 0 7
## 330 7 0 9
## 331 7 0 0
## 332 8 9 8
## 333 3 2 3
## 334 7 0 7
## 335 2 2 2
## 336 7 3 8
## 337 2 0 2
## 338 2 0 4
## 339 0 0 0
## 340 0 0 0
## 341 1 0 0
## 342 2 2 2
## 343 2 1 2
## 344 0 0 0
## 345 3 0 3
## 346 8 11 10
## 347 2 0 2
## 348 5 1 4
## 349 0 0 0
## 350 7 1 1
## 351 7 5 7
## 352 7 7 7
## 353 1 0 0
## 354 2 2 2
## 355 14 13 5
## 356 9 3 12
## 357 4 4 3
## 358 2 1 1
## 359 8 7 8
## 360 13 10 11
## 361 18 11 9
## 362 0 0 0
## 363 14 6 9
## 364 7 3 9
## 365 9 9 11
## 366 7 7 7
## 367 8 5 10
## 368 4 7 1
## 369 2 2 2
## 370 7 0 7
## 371 3 0 3
## 372 8 7 8
## 373 9 9 11
## 374 4 7 7
## 375 2 0 2
## 376 6 13 9
## 377 13 15 14
## 378 0 0 0
## 379 4 1 3
## 380 2 0 1
## 381 2 1 1
## 382 7 5 7
## 383 2 2 2
## 384 0 0 0
## 385 0 2 7
## 386 12 5 11
## 387 7 0 8
## 388 2 1 2
## 389 7 6 7
## 390 2 1 2
## 391 2 1 2
## 392 2 0 0
## 393 2 2 3
## 394 13 13 11
## 395 1 2 2
## 396 2 2 2
## 397 2 0 1
## 398 2 2 2
## 399 12 1 9
## 400 2 2 2
## 401 4 0 2
## 402 3 0 2
## 403 2 2 0
## 404 2 0 2
## 405 5 1 1
## 406 0 0 0
## 407 7 5 7
## 408 7 1 7
## 409 8 3 7
## 410 1 1 0
## 411 4 0 3
## 412 8 8 7
## 413 0 0 0
## 414 0 0 0
## 415 2 1 0
## 416 7 1 7
## 417 7 6 7
## 418 0 0 0
## 419 8 3 11
## 420 2 0 7
## 421 2 1 3
## 422 11 10 7
## 423 7 7 7
## 424 0 0 0
## 425 3 0 4
## 426 0 0 0
## 427 0 0 0
## 428 2 1 0
## 429 2 1 2
## 430 9 5 9
## 431 4 0 4
## 432 2 0 0
## 433 3 1 3
## 434 0 0 0
## 435 0 0 0
## 436 7 0 7
## 437 2 2 1
## 438 7 7 6
## 439 2 0 2
## 440 7 1 8
## 441 7 0 7
## 442 3 1 2
## 443 0 0 0
## 444 2 2 2
## 445 1 2 2
## 446 5 1 2
## 447 11 2 9
## 448 0 0 0
## 449 3 9 9
## 450 7 4 5
## 451 7 8 1
## 452 2 1 3
## 453 7 7 7
## 454 4 0 9
## 455 2 0 2
## 456 8 12 8
## 457 0 0 2
## 458 7 1 0
## 459 2 1 0
## 460 4 1 8
## 461 2 2 0
## 462 3 1 3
## 463 2 2 1
## 464 4 1 4
## 465 0 0 0
## 466 2 1 2
## 467 2 1 2
## 468 0 0 0
## 469 2 2 2
## 470 2 1 3
## 471 3 1 2
## 472 0 1 0
## 473 0 0 0
## 474 5 0 3
## 475 2 2 2
## 476 6 0 8
## 477 0 0 0
## 478 0 0 0
## 479 4 0 4
## 480 11 6 8
## 481 3 0 2
## 482 4 0 2
## 483 10 6 11
## 484 2 2 2
## 485 10 15 6
## 486 4 0 5
## 487 0 0 0
## 488 2 4 3
## 489 0 0 0
## 490 1 4 3
## 491 2 1 2
## 492 2 1 2
## 493 2 1 4
## 494 8 3 3
## 495 9 1 7
## 496 6 4 17
## 497 2 0 2
## 498 2 1 2
## 499 7 7 7
## 500 2 1 2
## 501 9 5 9
## 502 2 0 3
## 503 7 7 7
## 504 9 8 8
## 505 17 5 6
## 506 1 2 5
## 507 0 0 0
## 508 2 3 2
## 509 8 5 8
## 510 15 15 8
## 511 7 1 9
## 512 4 0 5
## 513 2 1 3
## 514 14 8 12
## 515 2 2 2
## 516 1 1 2
## 517 0 0 0
## 518 3 0 4
## 519 2 6 7
## 520 2 1 0
## 521 2 1 3
## 522 1 0 0
## 523 0 0 0
## 524 9 0 9
## 525 0 0 0
## 526 7 6 12
## 527 4 0 3
## 528 5 0 1
## 529 4 0 4
## 530 4 4 3
## 531 9 1 9
## 532 0 0 0
## 533 7 0 7
## 534 1 1 2
## 535 7 0 7
## 536 4 2 2
## 537 0 0 0
## 538 2 1 0
## 539 3 1 4
## 540 4 1 5
## 541 7 8 9
## 542 8 7 6
## 543 1 0 1
## 544 0 0 0
## 545 5 1 3
## 546 9 8 7
## 547 9 1 7
## 548 0 0 0
## 549 8 0 1
## 550 3 0 4
## 551 7 2 10
## 552 1 0 4
## 553 1 0 8
## 554 0 0 0
## 555 2 0 2
## 556 0 1 0
## 557 0 0 0
## 558 5 1 3
## 559 8 7 8
## 560 7 7 7
## 561 7 7 2
## 562 2 2 2
## 563 2 2 2
## 564 7 4 8
## 565 2 0 2
## 566 3 1 2
## 567 2 0 4
## 568 8 6 7
## 569 4 0 3
## 570 11 1 5
## 571 4 1 4
## 572 0 0 0
## 573 7 0 7
## 574 8 4 8
## 575 3 1 4
## 576 5 0 7
## 577 0 0 0
## 578 2 0 3
## 579 2 3 8
## 580 0 1 0
## 581 2 1 2
## 582 0 0 0
## 583 0 1 0
## 584 7 7 5
## 585 2 1 3
## 586 2 3 7
## 587 11 1 9
## 588 3 0 3
## 589 2 0 2
## 590 2 2 2
## 591 2 1 3
## 592 9 10 10
## 593 2 1 2
## 594 6 1 4
## 595 15 14 12
## 596 8 0 8
## 597 10 4 8
## 598 0 0 0
## 599 2 0 3
## 600 0 2 0
## 601 0 0 0
## 602 5 1 2
## 603 7 1 7
## 604 8 0 8
## 605 2 2 2
## 606 1 1 3
## 607 3 1 3
## 608 0 7 7
## 609 7 0 7
## 610 2 2 2
## 611 7 0 0
## 612 7 0 7
## 613 7 1 7
## 614 0 0 0
## 615 4 7 7
## 616 10 4 13
## 617 4 0 2
## 618 3 1 3
## 619 7 1 7
## 620 0 0 0
## 621 0 1 0
## 622 10 2 7
## 623 2 1 3
## 624 0 1 7
## 625 0 0 0
## 626 3 0 3
## 627 4 0 3
## 628 10 2 9
## 629 2 1 2
## 630 7 7 7
## 631 2 0 4
## 632 8 2 1
## 633 0 0 0
## 634 0 0 0
## 635 0 0 0
## 636 2 2 2
## 637 6 13 7
## 638 7 1 1
## 639 5 1 4
## 640 3 0 2
## 641 0 0 0
## 642 4 7 7
## 643 7 6 2
## 644 2 3 0
## 645 0 0 0
## 646 11 2 11
## 647 0 0 0
## 648 2 0 2
## 649 13 2 8
## 650 2 0 3
## 651 0 1 2
## 652 7 1 9
## 653 7 2 13
## 654 0 0 0
## 655 2 1 2
## 656 3 3 3
## 657 9 4 7
## 658 9 1 12
## 659 4 1 2
## 660 5 0 3
## 661 8 4 7
## 662 3 5 7
## 663 6 0 3
## 664 2 1 2
## 665 5 8 7
## 666 2 0 2
## 667 10 4 1
## 668 3 1 3
## 669 4 1 1
## 670 9 0 9
## 671 2 0 2
## 672 2 0 4
## 673 2 1 3
## 674 2 7 8
## 675 2 0 2
## 676 4 0 8
## 677 7 0 5
## 678 9 9 4
## 679 2 0 2
## 680 7 5 2
## 681 2 0 3
## 682 2 1 2
## 683 2 0 2
## 684 3 1 4
## 685 2 0 2
## 686 8 0 8
## 687 7 7 7
## 688 2 1 1
## 689 0 1 0
## 690 10 3 8
## 691 3 1 2
## 692 7 9 9
## 693 0 0 0
## 694 0 0 0
## 695 3 1 3
## 696 2 1 2
## 697 2 2 2
## 698 11 3 7
## 699 0 0 0
## 700 2 0 3
## 701 0 0 0
## 702 5 1 3
## 703 2 4 12
## 704 1 1 4
## 705 2 2 2
## 706 3 1 10
## 707 1 1 7
## 708 2 0 2
## 709 4 0 4
## 710 6 14 7
## 711 1 0 8
## 712 0 0 0
## 713 0 0 0
## 714 9 1 12
## 715 7 0 9
## 716 0 0 0
## 717 3 1 4
## 718 7 1 7
## 719 9 6 7
## 720 7 1 7
## 721 7 7 8
## 722 3 0 2
## 723 3 1 3
## 724 8 7 8
## 725 0 0 0
## 726 2 1 2
## 727 4 0 0
## 728 3 2 0
## 729 0 0 0
## 730 1 2 1
## 731 0 0 0
## 732 0 0 0
## 733 0 0 0
## 734 2 1 2
## 735 0 0 0
## 736 7 0 7
## 737 9 9 6
## 738 1 0 5
## 739 2 1 0
## 740 2 0 2
## 741 2 2 2
## 742 4 0 1
## 743 8 3 7
## 744 2 1 2
## 745 3 0 4
## 746 1 0 0
## 747 2 2 0
## 748 9 4 9
## 749 2 1 2
## 750 1 0 2
## 751 2 0 2
## 752 2 2 2
## 753 8 12 13
## 754 7 0 7
## 755 3 0 3
## 756 2 1 4
## 757 6 0 7
## 758 2 1 2
## 759 0 0 0
## 760 10 1 11
## 761 0 0 0
## 762 14 3 0
## 763 2 11 9
## 764 7 0 13
## 765 2 0 2
## 766 7 1 4
## 767 6 0 8
## 768 0 0 1
## 769 3 1 4
## 770 10 4 12
## 771 7 0 1
## 772 13 15 7
## 773 6 11 8
## 774 0 0 0
## 775 8 13 9
## 776 2 0 2
## 777 3 1 3
## 778 0 0 0
## 779 7 5 7
## 780 2 2 2
## 781 3 0 2
## 782 7 11 10
## 783 3 0 3
## 784 7 0 1
## 785 0 0 0
## 786 2 1 0
## 787 2 2 2
## 788 2 7 7
## 789 0 0 0
## 790 2 2 1
## 791 2 1 2
## 792 2 1 2
## 793 4 0 2
## 794 14 12 8
## 795 7 1 7
## 796 8 9 7
## 797 7 4 10
## 798 0 0 0
## 799 1 0 0
## 800 4 0 4
## 801 3 1 3
## 802 5 0 5
## 803 9 11 10
## 804 7 4 7
## 805 2 1 2
## 806 8 5 7
## 807 2 1 2
## 808 2 2 2
## 809 0 0 8
## 810 2 1 1
## 811 9 6 10
## 812 2 0 2
## 813 2 0 3
## 814 2 1 0
## 815 2 1 2
## 816 10 4 10
## 817 0 0 0
## 818 9 3 7
## 819 3 1 2
## 820 0 2 2
## 821 2 0 2
## 822 2 0 2
## 823 7 1 7
## 824 2 2 2
## 825 2 1 1
## 826 2 2 2
## 827 0 0 0
## 828 2 0 2
## 829 1 0 5
## 830 5 10 7
## 831 8 0 8
## 832 0 0 0
## 833 5 3 3
## 834 1 0 0
## 835 9 15 0
## 836 5 7 7
## 837 4 1 3
## 838 7 5 7
## 839 11 14 10
## 840 10 12 9
## 841 0 0 0
## 842 9 0 9
## 843 8 0 0
## 844 7 1 6
## 845 2 2 2
## 846 0 1 8
## 847 0 0 0
## 848 10 3 7
## 849 4 1 0
## 850 7 7 7
## 851 2 2 2
## 852 0 1 8
## 853 5 0 8
## 854 3 0 7
## 855 2 0 2
## 856 0 0 0
## 857 2 0 4
## 858 9 8 9
## 859 0 1 4
## 860 7 0 5
## 861 0 7 7
## 862 7 15 17
## 863 2 0 4
## 864 2 11 13
## 865 1 1 2
## 866 9 0 8
## 867 2 2 2
## 868 4 1 2
## 869 2 0 2
## 870 2 1 2
## OverTimeBinary MonthlyIncomeScale AgeScale EnvironmentSatisfactionScale
## 1 0 -0.4322304865 -0.54097720 -0.6377699
## 2 0 2.8787757404 0.35528590 0.2718364
## 3 0 0.6463532276 -0.20487853 0.2718364
## 4 0 0.8769034871 -0.54097720 0.2718364
## 5 1 -0.5720831440 -1.43724030 -1.5473762
## 6 0 0.5225955882 -1.10114163 1.1814426
## 7 1 -0.9272610437 0.46731879 -0.6377699
## 8 1 0.0660625744 0.01918724 1.1814426
## 9 1 -0.9070335210 -0.31691142 0.2718364
## 10 0 -0.2886803249 -0.31691142 1.1814426
## 11 0 2.8278806831 0.69138457 -1.5473762
## 12 0 -0.8013284020 -0.98910875 0.2718364
## 13 0 0.8331859379 -0.20487853 0.2718364
## 14 0 -0.8513534583 -0.76504297 0.2718364
## 15 0 -0.6453807265 1.02748323 1.1814426
## 16 0 0.1178276326 -0.65301008 1.1814426
## 17 0 0.0728050820 -0.54097720 0.2718364
## 18 0 -0.2462677772 1.02748323 0.2718364
## 19 1 -0.7521733467 -0.31691142 1.1814426
## 20 0 -0.2952053323 0.80341745 -0.6377699
## 21 1 0.5343406015 -0.09284565 -0.6377699
## 22 0 0.3762179235 1.25154900 -0.6377699
## 23 1 -0.1547001741 0.69138457 1.1814426
## 24 0 -0.2301727591 -0.65301008 1.1814426
## 25 0 0.1215251368 -0.42894431 -0.6377699
## 26 0 2.5714478945 0.80341745 -0.6377699
## 27 0 0.7685883651 0.13122013 0.2718364
## 28 1 0.3988379489 -0.42894431 -1.5473762
## 29 1 0.8825584934 1.81171344 -1.5473762
## 30 0 -0.4637680220 1.69968055 1.1814426
## 31 0 -0.3745929217 -0.54097720 1.1814426
## 32 0 -0.9487935680 -0.42894431 -0.6377699
## 33 1 2.2797800662 1.02748323 0.2718364
## 34 0 -0.8987685117 -0.20487853 1.1814426
## 35 0 0.7153008052 -0.54097720 1.1814426
## 36 0 -0.7821883804 -0.54097720 -0.6377699
## 37 0 0.8516734587 -0.20487853 1.1814426
## 38 1 -0.0557375627 -0.09284565 -0.6377699
## 39 0 2.8985682627 2.14781210 1.1814426
## 40 0 -0.7828408812 -0.65301008 0.2718364
## 41 0 2.1534124239 2.37187788 -0.6377699
## 42 0 0.0525775592 0.91545034 -0.6377699
## 43 1 -0.8272109311 1.36358189 1.1814426
## 44 0 2.8759482372 0.57935168 1.1814426
## 45 0 -1.1238812651 -1.54927318 1.1814426
## 46 0 -0.5910056653 0.57935168 -1.5473762
## 47 0 0.0749800844 -0.54097720 -1.5473762
## 48 1 0.5110680753 0.13122013 0.2718364
## 49 1 -0.9814186047 -2.10943762 -0.6377699
## 50 0 -0.9496635690 -1.10114163 1.1814426
## 51 0 -0.8202509233 0.13122013 0.2718364
## 52 1 2.8950882588 2.37187788 1.1814426
## 53 0 -0.9524910721 0.80341745 -1.5473762
## 54 0 -0.4226604758 0.91545034 0.2718364
## 55 0 -0.4276629814 -0.65301008 0.2718364
## 56 0 -0.8920260041 0.46731879 0.2718364
## 57 1 -0.7898008890 0.57935168 0.2718364
## 58 1 -0.3626304082 -0.87707586 -0.6377699
## 59 1 1.5687717658 0.01918724 -1.5473762
## 60 1 -1.1467187908 -1.32520741 0.2718364
## 61 1 0.8558059633 -0.09284565 0.2718364
## 62 0 0.1530626723 -0.09284565 1.1814426
## 63 0 -0.7228108136 -0.65301008 -1.5473762
## 64 0 -1.0605886938 -2.10943762 -0.6377699
## 65 0 -0.9092085234 -1.43724030 1.1814426
## 66 1 -0.6725682571 -0.54097720 -1.5473762
## 67 0 0.0556225626 -0.20487853 -0.6377699
## 68 0 -0.8141609164 -1.54927318 1.1814426
## 69 0 -0.9126885273 -0.20487853 -0.6377699
## 70 0 -0.9298710467 0.01918724 1.1814426
## 71 0 -0.7847983834 0.46731879 1.1814426
## 72 0 0.4508205075 -0.98910875 1.1814426
## 73 1 -0.1031526161 -0.20487853 -0.6377699
## 74 1 -0.3532778977 0.46731879 -0.6377699
## 75 1 0.4471230033 1.69968055 -0.6377699
## 76 0 -0.5174905825 -0.76504297 0.2718364
## 77 1 0.1506701696 -0.31691142 1.1814426
## 78 0 2.4309427363 1.02748323 1.1814426
## 79 0 0.5382556059 0.91545034 1.1814426
## 80 1 -1.1443262881 -0.65301008 1.1814426
## 81 0 -0.3508853950 0.01918724 -1.5473762
## 82 0 0.1071701206 -0.20487853 1.1814426
## 83 0 -0.2325652618 0.13122013 -1.5473762
## 84 1 -0.0905376019 0.01918724 0.2718364
## 85 1 -0.2132077400 -0.09284565 0.2718364
## 86 1 1.5955242960 2.48391077 0.2718364
## 87 0 -0.3110828502 1.13951612 1.1814426
## 88 1 -0.5757806481 -0.20487853 0.2718364
## 89 0 0.5080230718 -1.10114163 1.1814426
## 90 0 2.7310930742 1.02748323 -0.6377699
## 91 1 -1.0196986478 0.13122013 1.1814426
## 92 0 0.2056977315 -0.87707586 1.1814426
## 93 1 -0.9353085528 0.01918724 1.1814426
## 94 1 -0.0539975608 -0.20487853 -1.5473762
## 95 0 2.9440258139 1.47561478 0.2718364
## 96 0 -0.3226103631 0.57935168 -0.6377699
## 97 0 2.2219250011 1.02748323 0.2718364
## 98 0 -0.2669303005 0.01918724 0.2718364
## 99 0 -0.6982332859 -0.87707586 1.1814426
## 100 0 -0.6734382580 -0.31691142 1.1814426
## 101 0 -0.9333510506 -1.10114163 -0.6377699
## 102 0 0.9575960779 -0.65301008 -1.5473762
## 103 0 0.0321325362 -0.31691142 0.2718364
## 104 0 -0.7767508743 -1.54927318 -1.5473762
## 105 0 2.2201849991 1.81171344 1.1814426
## 106 0 -0.4285329824 -1.21317452 -1.5473762
## 107 0 -0.4505005071 -0.87707586 1.1814426
## 108 1 2.8809507429 2.03577922 0.2718364
## 109 0 0.5515231208 1.02748323 1.1814426
## 110 0 -0.8594009674 -0.54097720 1.1814426
## 111 1 -0.8019809027 -0.98910875 0.2718364
## 112 0 2.3291526217 1.69968055 1.1814426
## 113 0 0.8819059927 1.69968055 -0.6377699
## 114 0 -0.2821553176 -0.20487853 1.1814426
## 115 1 0.5602231306 -0.20487853 0.2718364
## 116 1 0.2722528065 0.01918724 -1.5473762
## 117 0 -0.3132578526 -1.32520741 0.2718364
## 118 1 -0.5144455791 -0.87707586 1.1814426
## 119 0 -0.8567909644 0.46731879 -1.5473762
## 120 0 0.0645400726 -0.31691142 0.2718364
## 121 0 1.1576963031 -0.09284565 -1.5473762
## 122 1 -0.8722334818 -1.77333896 0.2718364
## 123 1 0.9506360701 0.91545034 1.1814426
## 124 0 -0.5137930783 0.13122013 1.1814426
## 125 0 -0.3993879496 -0.87707586 -0.6377699
## 126 1 -0.2580127904 -0.20487853 0.2718364
## 127 1 -0.5375006050 -0.54097720 -0.6377699
## 128 0 -0.1053276186 0.91545034 -0.6377699
## 129 1 -0.5022655654 0.69138457 -1.5473762
## 130 0 1.4865566733 1.02748323 -1.5473762
## 131 1 -0.4792105394 -0.87707586 -1.5473762
## 132 0 -0.4096104611 1.36358189 1.1814426
## 133 0 -0.4061304572 0.57935168 1.1814426
## 134 0 -0.2382202681 0.24325302 1.1814426
## 135 0 -0.2464852774 0.69138457 0.2718364
## 136 0 -0.4668130255 0.35528590 0.2718364
## 137 1 -0.8855009967 -0.87707586 -0.6377699
## 138 0 0.9458510647 1.92374633 0.2718364
## 139 1 -0.8670134759 0.24325302 1.1814426
## 140 0 0.2257077541 0.01918724 0.2718364
## 141 1 1.5250542166 2.14781210 1.1814426
## 142 0 -0.8739734838 2.37187788 -1.5473762
## 143 0 0.9689060906 1.02748323 1.1814426
## 144 0 0.0243025274 0.01918724 0.2718364
## 145 0 -0.0028850032 0.35528590 -0.6377699
## 146 0 -0.3787254263 -0.87707586 1.1814426
## 147 0 -0.7904533898 -0.42894431 1.1814426
## 148 0 0.0003775004 -0.42894431 -1.5473762
## 149 0 -0.6075356839 -1.43724030 1.1814426
## 150 0 -0.3291353705 -0.98910875 -0.6377699
## 151 0 -0.4692055281 -0.65301008 -0.6377699
## 152 0 -0.2162527434 -0.54097720 1.1814426
## 153 0 -0.1971127219 -0.54097720 1.1814426
## 154 0 0.1043426175 0.46731879 -0.6377699
## 155 0 -0.9531435729 -0.31691142 -0.6377699
## 156 1 -0.3598029050 -0.76504297 1.1814426
## 157 0 -0.1551351746 0.35528590 -0.6377699
## 158 0 1.2568764148 0.24325302 -1.5473762
## 159 0 0.9634685845 0.69138457 0.2718364
## 160 1 1.4791616650 0.57935168 -1.5473762
## 161 1 -0.2749778095 -0.76504297 1.1814426
## 162 0 0.5071530709 -0.98910875 -0.6377699
## 163 0 0.1552376747 -0.42894431 0.2718364
## 164 1 0.0336550379 0.57935168 1.1814426
## 165 0 0.3544678990 -0.20487853 0.2718364
## 166 0 -0.9453135641 -1.88537185 0.2718364
## 167 0 2.1799474538 1.36358189 -1.5473762
## 168 0 2.1301398977 -0.42894431 -1.5473762
## 169 1 -0.1768851991 1.69968055 1.1814426
## 170 0 -0.8430884490 -0.87707586 0.2718364
## 171 0 -0.2362627659 -0.76504297 0.2718364
## 172 0 -0.2008102260 1.13951612 0.2718364
## 173 0 0.8997410128 1.02748323 -1.5473762
## 174 1 0.4327679871 -0.42894431 1.1814426
## 175 0 1.8404295716 1.81171344 0.2718364
## 176 1 -0.9396585577 -1.77333896 1.1814426
## 177 1 2.9294532975 2.03577922 1.1814426
## 178 1 -0.9457485646 -1.21317452 -1.5473762
## 179 0 0.5671831384 -0.54097720 -0.6377699
## 180 0 0.4993230620 0.13122013 -1.5473762
## 181 0 0.8447134508 -0.20487853 0.2718364
## 182 0 0.1093451231 0.13122013 -0.6377699
## 183 0 -0.3591504043 0.69138457 -0.6377699
## 184 0 0.4318979862 0.24325302 -0.6377699
## 185 0 -0.5731706452 0.24325302 0.2718364
## 186 0 -0.9396585577 -0.98910875 1.1814426
## 187 0 -0.2575777899 -1.32520741 1.1814426
## 188 0 2.0840298458 1.13951612 -0.6377699
## 189 0 2.7739406224 1.47561478 -1.5473762
## 190 0 -0.4718155311 -0.98910875 -0.6377699
## 191 0 -0.1338201506 -0.76504297 1.1814426
## 192 0 0.7061657949 -0.65301008 -1.5473762
## 193 0 -0.3437078869 1.02748323 0.2718364
## 194 0 -0.5087905727 1.25154900 -0.6377699
## 195 0 -0.5407631087 -1.21317452 -1.5473762
## 196 0 -0.7976308978 1.58764767 0.2718364
## 197 0 -0.9385710565 1.58764767 1.1814426
## 198 0 1.4637191476 1.36358189 1.1814426
## 199 0 0.8390584445 0.80341745 -1.5473762
## 200 0 -0.9272610437 -1.43724030 1.1814426
## 201 1 1.4798141657 0.35528590 -0.6377699
## 202 0 -0.0370325417 -0.54097720 -0.6377699
## 203 0 -0.0496475559 -0.54097720 0.2718364
## 204 1 -0.9079035220 -0.98910875 -1.5473762
## 205 0 -0.5348906021 -0.54097720 0.2718364
## 206 1 -0.8333009380 0.80341745 -0.6377699
## 207 0 -0.2271277557 0.69138457 -1.5473762
## 208 1 0.0614950692 0.13122013 -0.6377699
## 209 0 -0.6930132801 -0.76504297 1.1814426
## 210 1 0.3912254404 0.46731879 0.2718364
## 211 0 1.5615942578 0.46731879 -1.5473762
## 212 0 2.5910229165 0.57935168 1.1814426
## 213 0 -0.3719829187 0.01918724 1.1814426
## 214 1 -0.0713975804 0.57935168 1.1814426
## 215 0 -0.9450960638 -1.10114163 -1.5473762
## 216 0 -0.8798459904 0.35528590 0.2718364
## 217 0 0.7468383407 0.13122013 0.2718364
## 218 0 2.3454651401 1.25154900 1.1814426
## 219 0 -0.8174234201 -0.76504297 -1.5473762
## 220 1 -0.7645708606 -1.21317452 0.2718364
## 221 0 -0.0252875285 -0.31691142 1.1814426
## 222 0 -0.4576780152 0.91545034 -1.5473762
## 223 1 -0.2223427503 -0.42894431 0.2718364
## 224 0 -1.0499311818 -0.98910875 -1.5473762
## 225 0 -0.3521903964 0.13122013 -0.6377699
## 226 0 -0.5746931469 -0.76504297 1.1814426
## 227 0 -0.9655410868 -0.20487853 0.2718364
## 228 1 -0.8835434945 -1.66130607 1.1814426
## 229 0 -0.3026003406 -1.43724030 -1.5473762
## 230 1 1.6477243547 1.36358189 0.2718364
## 231 0 -0.1349076519 0.91545034 1.1814426
## 232 0 -0.9518385714 -0.20487853 1.1814426
## 233 0 1.4236991025 1.13951612 0.2718364
## 234 0 -0.0979326102 1.92374633 1.1814426
## 235 1 2.2987025875 0.69138457 0.2718364
## 236 0 0.9175760328 0.01918724 -1.5473762
## 237 0 2.7165205578 0.57935168 -1.5473762
## 238 1 -0.0148475167 -0.54097720 -1.5473762
## 239 0 -0.9142110291 -1.32520741 0.2718364
## 240 0 1.4961266841 1.47561478 1.1814426
## 241 1 0.2209227487 0.57935168 1.1814426
## 242 0 2.5383878573 0.91545034 -0.6377699
## 243 0 -0.8019809027 -0.87707586 0.2718364
## 244 0 -0.4328829873 -1.32520741 -1.5473762
## 245 1 -0.2902028267 -0.87707586 -0.6377699
## 246 0 -0.8391734446 -0.87707586 -1.5473762
## 247 1 0.1637201843 -0.65301008 0.2718364
## 248 0 -0.8963760090 -0.54097720 -0.6377699
## 249 1 -0.2008102260 0.46731879 1.1814426
## 250 0 2.2195324984 0.46731879 -0.6377699
## 251 0 -0.9531435729 -0.42894431 -0.6377699
## 252 0 -0.2852003210 -0.09284565 -1.5473762
## 253 0 -0.8952885078 0.91545034 -0.6377699
## 254 0 -0.7469533408 -0.65301008 1.1814426
## 255 0 1.6022668035 0.35528590 1.1814426
## 256 0 -0.8596184676 0.69138457 -1.5473762
## 257 0 -0.7832758817 -0.65301008 1.1814426
## 258 0 -0.3504503945 -0.76504297 1.1814426
## 259 1 0.7226958135 -0.31691142 0.2718364
## 260 1 -0.5248855908 -1.32520741 1.1814426
## 261 0 -0.7841458827 -0.65301008 0.2718364
## 262 0 -0.8761484862 -0.87707586 -1.5473762
## 263 1 -0.8600534681 -0.42894431 0.2718364
## 264 0 -0.9207360364 -0.87707586 0.2718364
## 265 0 -0.7865383853 -1.43724030 -0.6377699
## 266 0 -0.8622284705 -0.20487853 -1.5473762
## 267 0 2.3091425992 -0.31691142 -0.6377699
## 268 0 -1.0869062234 -0.54097720 1.1814426
## 269 0 -0.0918426034 -0.42894431 1.1814426
## 270 0 0.7757658732 -0.76504297 0.2718364
## 271 0 -0.2688878027 0.91545034 0.2718364
## 272 0 -0.2082052344 -0.31691142 1.1814426
## 273 0 -0.6199331978 -1.10114163 -0.6377699
## 274 0 -0.1616601820 -0.09284565 0.2718364
## 275 0 2.6821555191 2.03577922 0.2718364
## 276 0 2.9477233180 2.14781210 1.1814426
## 277 0 -0.9018135151 -1.66130607 -1.5473762
## 278 0 -0.8559209634 0.69138457 0.2718364
## 279 1 -0.1405626582 -1.32520741 0.2718364
## 280 1 -0.5122705766 2.03577922 1.1814426
## 281 1 0.3168403566 0.69138457 1.1814426
## 282 1 -0.3630654087 0.46731879 1.1814426
## 283 0 0.0266950300 0.35528590 0.2718364
## 284 0 0.2515902832 -0.65301008 1.1814426
## 285 0 -0.7713133682 0.13122013 0.2718364
## 286 1 -0.2573602897 -0.42894431 -0.6377699
## 287 1 -0.8522234593 -1.66130607 1.1814426
## 288 0 -0.8111159130 -0.31691142 -0.6377699
## 289 0 0.7281333196 -0.09284565 -0.6377699
## 290 0 -0.8304734348 -0.20487853 -1.5473762
## 291 0 -0.8961585087 0.91545034 1.1814426
## 292 0 -0.1557876754 -0.09284565 -0.6377699
## 293 0 -0.8942010065 -1.10114163 1.1814426
## 294 0 1.2107663629 1.13951612 0.2718364
## 295 1 2.1851674597 0.35528590 0.2718364
## 296 1 -0.8113334133 -0.20487853 1.1814426
## 297 0 0.6865907728 -0.31691142 1.1814426
## 298 1 -0.0687875774 -0.31691142 -1.5473762
## 299 1 -0.8850659963 -0.65301008 0.2718364
## 300 1 -0.6364632164 -0.98910875 -1.5473762
## 301 0 0.0290875327 -0.54097720 -0.6377699
## 302 0 0.5826256558 -0.20487853 -0.6377699
## 303 0 -0.6205856985 2.03577922 -1.5473762
## 304 0 -0.2810678164 -0.20487853 -0.6377699
## 305 0 -0.8507009576 2.37187788 1.1814426
## 306 0 -0.7021482904 -1.43724030 -1.5473762
## 307 0 -0.8722334818 1.47561478 -1.5473762
## 308 0 -0.7419508352 -0.31691142 0.2718364
## 309 1 -0.0011450013 2.03577922 0.2718364
## 310 0 -0.3347903768 -1.32520741 1.1814426
## 311 0 -0.1971127219 -0.31691142 -0.6377699
## 312 0 1.4891666762 0.35528590 -0.6377699
## 313 0 -0.5016130646 -0.65301008 1.1814426
## 314 0 -0.0561725632 1.58764767 -0.6377699
## 315 0 -0.2142952412 2.59594365 -1.5473762
## 316 1 -0.4844305453 1.13951612 1.1814426
## 317 0 -0.9046410183 -0.31691142 0.2718364
## 318 0 -0.3856854341 -1.43724030 -0.6377699
## 319 1 -0.0587825662 0.24325302 -1.5473762
## 320 1 -0.7386883315 -1.99740473 -0.6377699
## 321 0 -0.8826734936 -0.54097720 0.2718364
## 322 0 -0.8045909057 -0.31691142 -0.6377699
## 323 0 -0.5718656437 -0.76504297 -0.6377699
## 324 1 -0.3861204346 1.02748323 1.1814426
## 325 0 1.3815040551 0.24325302 1.1814426
## 326 0 -0.8857184970 -1.10114163 -0.6377699
## 327 1 2.7532780992 0.80341745 -0.6377699
## 328 1 -0.2132077400 0.57935168 1.1814426
## 329 1 -0.9259560423 0.13122013 1.1814426
## 330 0 2.2639025483 0.57935168 0.2718364
## 331 0 1.9550522007 1.36358189 0.2718364
## 332 0 0.8721184817 -0.54097720 1.1814426
## 333 1 -0.8804984911 0.80341745 0.2718364
## 334 0 0.2222277501 -1.10114163 0.2718364
## 335 0 2.7086905490 2.48391077 0.2718364
## 336 0 -0.4093929608 -0.42894431 -1.5473762
## 337 0 -0.3093428482 -0.20487853 1.1814426
## 338 0 0.2970478344 -0.31691142 -1.5473762
## 339 1 -0.3615429070 1.47561478 1.1814426
## 340 0 -0.8807159914 -1.10114163 1.1814426
## 341 1 -0.6462507274 -0.09284565 -0.6377699
## 342 1 -0.5488106178 -0.98910875 1.1814426
## 343 0 0.1585001784 -0.42894431 1.1814426
## 344 0 -0.9368310545 -0.76504297 0.2718364
## 345 0 -0.4948705570 -0.76504297 0.2718364
## 346 0 1.5117867017 0.24325302 -0.6377699
## 347 0 -0.5127055771 -0.31691142 1.1814426
## 348 0 0.0014650016 -1.21317452 0.2718364
## 349 0 -0.8918085038 0.80341745 1.1814426
## 350 0 1.0250211538 2.14781210 0.2718364
## 351 0 1.5133092034 0.57935168 0.2718364
## 352 0 0.1171751319 -0.65301008 -0.6377699
## 353 1 -0.4280979819 0.35528590 0.2718364
## 354 1 -0.5048755683 0.35528590 1.1814426
## 355 1 0.8823409932 0.46731879 0.2718364
## 356 0 -0.3548003994 -0.31691142 1.1814426
## 357 0 -0.8748434847 -1.21317452 0.2718364
## 358 0 -0.8361284412 -0.87707586 0.2718364
## 359 1 -0.0496475559 -0.54097720 -1.5473762
## 360 0 -0.6917082786 -0.09284565 1.1814426
## 361 0 2.9599033317 1.69968055 0.2718364
## 362 0 -1.1525912974 -0.87707586 0.2718364
## 363 0 2.9264082940 1.69968055 -1.5473762
## 364 0 2.8374506939 0.35528590 -1.5473762
## 365 0 2.7832931329 2.03577922 1.1814426
## 366 0 1.4837291701 2.14781210 0.2718364
## 367 0 -0.4233129765 -0.31691142 0.2718364
## 368 0 -0.1995052246 0.35528590 -1.5473762
## 369 0 -0.9390060570 -1.54927318 1.1814426
## 370 0 -0.2904203269 -0.54097720 -1.5473762
## 371 0 -0.4876930490 -0.65301008 0.2718364
## 372 0 0.4397279950 -0.76504297 0.2718364
## 373 0 -0.2567077890 0.91545034 -1.5473762
## 374 0 -0.5338031009 0.01918724 -0.6377699
## 375 0 -0.7965433966 -1.88537185 1.1814426
## 376 1 1.7445119637 1.47561478 0.2718364
## 377 0 -0.7932808929 -0.09284565 0.2718364
## 378 1 -0.2834603191 0.57935168 -0.6377699
## 379 1 -0.9183435337 -0.87707586 -0.6377699
## 380 1 -0.9261735425 -0.76504297 -1.5473762
## 381 0 2.5903704158 1.13951612 1.1814426
## 382 0 -0.7499983442 -1.21317452 0.2718364
## 383 0 -0.1966777214 1.25154900 0.2718364
## 384 0 -0.8848484960 -1.54927318 0.2718364
## 385 1 -0.8546159620 1.58764767 -1.5473762
## 386 0 1.5642042607 0.13122013 1.1814426
## 387 0 0.5217255873 -0.20487853 0.2718364
## 388 0 -0.4628980210 -0.87707586 1.1814426
## 389 0 -0.4106979623 -0.09284565 0.2718364
## 390 1 -0.9170385322 -1.77333896 -1.5473762
## 391 0 0.0238675269 -0.31691142 0.2718364
## 392 1 -0.4857355468 -1.21317452 0.2718364
## 393 1 -0.7232458141 -0.65301008 0.2718364
## 394 0 0.8429734489 2.59594365 0.2718364
## 395 1 -0.8428709488 0.57935168 -0.6377699
## 396 1 -0.8037209047 -0.65301008 0.2718364
## 397 0 2.4948878083 1.02748323 -1.5473762
## 398 0 -0.7934983932 -0.31691142 -1.5473762
## 399 0 -0.0183275206 2.14781210 0.2718364
## 400 1 0.8305759349 0.80341745 -0.6377699
## 401 0 -0.0650900733 -0.76504297 0.2718364
## 402 0 -0.2447452755 0.57935168 0.2718364
## 403 0 -0.9320460491 1.13951612 -0.6377699
## 404 0 0.3518578961 -0.09284565 -0.6377699
## 405 0 -0.8333009380 -0.20487853 0.2718364
## 406 1 2.2264925062 0.69138457 -0.6377699
## 407 0 -0.2005927258 -0.65301008 -1.5473762
## 408 0 -0.7937158934 -0.09284565 0.2718364
## 409 0 1.9654922124 1.81171344 -1.5473762
## 410 0 2.3422026364 0.69138457 -0.6377699
## 411 0 -0.8804984911 -0.09284565 -1.5473762
## 412 0 0.6200356979 0.46731879 1.1814426
## 413 0 -0.7325983246 0.01918724 -0.6377699
## 414 0 -0.3789429265 -0.54097720 1.1814426
## 415 0 -0.8785409889 -0.31691142 1.1814426
## 416 0 -0.1366476538 -0.20487853 -0.6377699
## 417 0 -0.8322134368 -0.76504297 0.2718364
## 418 0 -0.5877431616 -0.09284565 0.2718364
## 419 0 0.0182125205 0.01918724 1.1814426
## 420 0 1.2059813575 -0.87707586 -0.6377699
## 421 0 -0.4491955056 -0.31691142 -1.5473762
## 422 1 -0.4222254753 0.01918724 -0.6377699
## 423 1 -0.0474725534 -0.65301008 -0.6377699
## 424 0 -1.0394911701 -2.10943762 1.1814426
## 425 0 -0.3624129079 -0.98910875 0.2718364
## 426 0 0.9586835791 0.69138457 0.2718364
## 427 0 -1.1127887526 -0.76504297 0.2718364
## 428 0 -0.6873582737 -1.77333896 1.1814426
## 429 1 -0.5786081513 -0.54097720 1.1814426
## 430 0 -0.0942351061 -0.31691142 1.1814426
## 431 1 -0.4159179682 -1.10114163 1.1814426
## 432 0 -0.6190631968 0.35528590 0.2718364
## 433 0 -0.4581130157 1.36358189 -1.5473762
## 434 0 -0.9311760482 -0.87707586 1.1814426
## 435 0 0.7209558115 0.35528590 -1.5473762
## 436 0 -0.0383375432 -1.10114163 -0.6377699
## 437 0 -0.4367979917 -0.98910875 0.2718364
## 438 0 -0.7663108626 -1.21317452 0.2718364
## 439 1 -0.8063309076 1.47561478 -1.5473762
## 440 0 0.2685553023 0.13122013 -0.6377699
## 441 1 -0.3028178409 -0.54097720 1.1814426
## 442 0 -0.7430383364 -0.87707586 1.1814426
## 443 0 -0.6318957113 -0.98910875 -1.5473762
## 444 1 -0.6949707823 0.80341745 0.2718364
## 445 1 2.8139606675 1.02748323 0.2718364
## 446 0 -0.6460332272 1.13951612 -1.5473762
## 447 0 -0.3600204052 0.13122013 1.1814426
## 448 0 -0.1853677087 0.57935168 -0.6377699
## 449 0 -0.8665784754 0.13122013 1.1814426
## 450 0 -0.4361454909 0.91545034 -1.5473762
## 451 1 -0.3289178702 -0.42894431 -0.6377699
## 452 0 -0.6460332272 0.80341745 1.1814426
## 453 1 -0.1255551413 -0.20487853 0.2718364
## 454 0 -0.1964602211 -0.42894431 -0.6377699
## 455 0 1.9600547063 1.25154900 1.1814426
## 456 0 2.9237982911 0.35528590 -0.6377699
## 457 0 -0.1988527238 -0.65301008 -1.5473762
## 458 1 -0.2064652324 1.58764767 0.2718364
## 459 0 -0.9405285587 2.14781210 -1.5473762
## 460 0 -0.1262076421 -0.09284565 -1.5473762
## 461 0 -0.9346560521 0.57935168 -0.6377699
## 462 0 -0.9520560717 -0.09284565 -1.5473762
## 463 0 0.6128581898 1.47561478 0.2718364
## 464 0 -0.2506177821 -0.65301008 1.1814426
## 465 1 -0.8598359679 0.69138457 0.2718364
## 466 1 -0.5320630989 0.13122013 1.1814426
## 467 1 -0.8148134172 -0.09284565 0.2718364
## 468 0 -0.7291183207 -0.09284565 -0.6377699
## 469 0 -0.3091253480 -1.21317452 -0.6377699
## 470 0 -0.4220079750 1.81171344 1.1814426
## 471 0 -0.9057285195 -1.10114163 -0.6377699
## 472 1 -0.8594009674 -0.87707586 1.1814426
## 473 1 1.4909066782 0.91545034 1.1814426
## 474 0 -0.6390732194 0.91545034 0.2718364
## 475 0 -0.9098610242 -0.98910875 -1.5473762
## 476 1 -0.1344726514 1.02748323 -1.5473762
## 477 0 -0.0122375138 0.01918724 1.1814426
## 478 0 -0.4533280103 -1.21317452 -1.5473762
## 479 0 -0.7482583423 1.69968055 0.2718364
## 480 1 1.5994393004 0.01918724 0.2718364
## 481 0 -0.2212552491 -0.87707586 -1.5473762
## 482 1 -0.8774534877 -0.65301008 1.1814426
## 483 1 -0.1399101575 -0.31691142 0.2718364
## 484 1 -0.4639855223 2.14781210 0.2718364
## 485 0 0.8529784601 2.37187788 1.1814426
## 486 1 -0.0864050973 0.46731879 -0.6377699
## 487 0 -1.1547662998 -0.76504297 -0.6377699
## 488 0 -0.7567408518 -0.65301008 -1.5473762
## 489 1 -0.2195152471 1.25154900 -1.5473762
## 490 0 -0.0539975608 -0.31691142 -0.6377699
## 491 1 2.6697580051 1.36358189 0.2718364
## 492 1 2.2815200681 1.47561478 1.1814426
## 493 0 -0.1133751276 -0.87707586 0.2718364
## 494 0 0.4819230425 -0.20487853 1.1814426
## 495 1 -0.1560051756 -0.09284565 -0.6377699
## 496 0 2.1568924278 1.58764767 -1.5473762
## 497 0 -0.8126384147 0.91545034 -1.5473762
## 498 1 -0.8839784950 0.01918724 -0.6377699
## 499 0 -0.2508352823 -0.09284565 0.2718364
## 500 0 -0.1423026602 0.24325302 -1.5473762
## 501 1 0.7868583857 2.37187788 0.2718364
## 502 1 -0.9487935680 -0.98910875 0.2718364
## 503 1 -0.8124209145 1.25154900 1.1814426
## 504 0 0.7807683789 -0.87707586 -0.6377699
## 505 0 2.3443776389 1.13951612 -1.5473762
## 506 0 -0.1114176254 -0.54097720 1.1814426
## 507 1 -0.7697908665 -0.42894431 1.1814426
## 508 0 0.9147485297 1.58764767 -0.6377699
## 509 0 -0.7824058807 0.01918724 -1.5473762
## 510 0 2.8611582206 0.46731879 -0.6377699
## 511 0 -0.2277802564 0.13122013 -1.5473762
## 512 0 0.9852186090 0.24325302 0.2718364
## 513 0 -0.6432057240 -0.54097720 -1.5473762
## 514 1 1.5372342303 -0.42894431 -1.5473762
## 515 0 -0.8222084255 -1.77333896 -1.5473762
## 516 0 -0.1975477224 1.58764767 1.1814426
## 517 1 -0.8650559737 -1.32520741 0.2718364
## 518 0 -0.7882783873 0.57935168 -0.6377699
## 519 0 -0.3835104317 -0.76504297 -1.5473762
## 520 0 -0.8272109311 2.14781210 -1.5473762
## 521 0 -0.8346059395 -0.31691142 0.2718364
## 522 1 -0.8661434750 -0.98910875 0.2718364
## 523 0 0.7250883162 0.91545034 -0.6377699
## 524 1 2.8518057101 1.36358189 1.1814426
## 525 0 -0.9163860315 2.48391077 0.2718364
## 526 0 0.2468052778 1.81171344 0.2718364
## 527 1 -0.3010778389 0.91545034 0.2718364
## 528 1 0.0962951084 -0.65301008 0.2718364
## 529 0 -0.7680508645 -0.20487853 -0.6377699
## 530 1 -0.3104303494 2.14781210 -0.6377699
## 531 0 0.5291205956 0.13122013 0.2718364
## 532 0 0.0923801040 -0.09284565 -0.6377699
## 533 0 -0.8026334035 -0.87707586 0.2718364
## 534 0 0.0601900678 -0.54097720 0.2718364
## 535 1 -0.9290010457 -0.87707586 -0.6377699
## 536 0 -0.9355260531 0.69138457 1.1814426
## 537 0 0.2089602352 0.13122013 1.1814426
## 538 1 -0.8035034044 0.57935168 0.2718364
## 539 1 -0.6934482806 -1.43724030 -1.5473762
## 540 0 -0.2686703024 0.57935168 -0.6377699
## 541 0 -0.6305907098 -0.76504297 0.2718364
## 542 0 -0.7062807950 -0.42894431 1.1814426
## 543 1 -0.8317784363 -1.10114163 0.2718364
## 544 0 0.0353950398 0.13122013 1.1814426
## 545 0 -0.4370154919 -0.31691142 0.2718364
## 546 0 -0.7528258474 -0.31691142 -0.6377699
## 547 0 0.2202702479 1.36358189 -1.5473762
## 548 0 -0.2819378174 0.35528590 -1.5473762
## 549 0 1.2333863883 0.13122013 -1.5473762
## 550 0 -0.9163860315 0.91545034 -0.6377699
## 551 0 2.7837281334 0.46731879 1.1814426
## 552 0 -0.3163028560 -0.98910875 -0.6377699
## 553 0 -0.5446781131 -0.09284565 -0.6377699
## 554 0 -0.8985510114 1.25154900 1.1814426
## 555 0 -0.3293528707 0.35528590 1.1814426
## 556 1 0.6985532863 0.01918724 1.1814426
## 557 0 -0.5677331391 1.92374633 0.2718364
## 558 1 -0.6020981777 -0.31691142 -0.6377699
## 559 0 -0.4254879789 0.57935168 -0.6377699
## 560 0 -0.2380027679 -1.21317452 0.2718364
## 561 0 -0.9357435533 -0.09284565 1.1814426
## 562 1 2.0437923005 2.37187788 -1.5473762
## 563 0 -0.7784908763 -1.10114163 0.2718364
## 564 0 1.0093611362 -0.65301008 0.2718364
## 565 0 -0.5562056261 -0.76504297 1.1814426
## 566 1 -0.8600534681 0.80341745 -0.6377699
## 567 0 -0.9166035318 -0.54097720 1.1814426
## 568 0 0.7229133137 -0.76504297 -0.6377699
## 569 0 -0.0318125358 0.57935168 0.2718364
## 570 1 1.6492468564 1.47561478 1.1814426
## 571 0 -0.4344054890 0.46731879 0.2718364
## 572 0 -0.8041559052 -1.77333896 1.1814426
## 573 1 0.0965126086 -0.98910875 0.2718364
## 574 0 0.0889001001 -0.31691142 -0.6377699
## 575 0 -0.0257225290 -1.21317452 -1.5473762
## 576 0 -0.0864050973 0.01918724 -1.5473762
## 577 0 -0.7682683648 0.13122013 -1.5473762
## 578 0 -0.7021482904 0.80341745 0.2718364
## 579 0 -0.2932478301 0.24325302 -1.5473762
## 580 1 0.0506200570 -0.87707586 0.2718364
## 581 0 -0.5918756662 -1.32520741 1.1814426
## 582 0 2.0883798507 0.57935168 -1.5473762
## 583 1 -0.1259901418 0.13122013 -0.6377699
## 584 1 -0.3504503945 -0.98910875 -0.6377699
## 585 1 0.0162550183 0.80341745 1.1814426
## 586 1 -0.7937158934 0.35528590 0.2718364
## 587 1 -0.2308252598 0.13122013 -0.6377699
## 588 0 -0.6488607304 -0.09284565 0.2718364
## 589 0 -0.6005756760 0.01918724 -1.5473762
## 590 1 -0.5168380818 -0.20487853 0.2718364
## 591 1 -0.7778383756 -1.66130607 -0.6377699
## 592 1 -0.3896004385 -0.31691142 -1.5473762
## 593 0 -0.7571758523 -0.98910875 -1.5473762
## 594 0 -0.6914907784 1.36358189 0.2718364
## 595 0 0.8797309902 0.35528590 -1.5473762
## 596 0 -0.5118355761 -0.42894431 -1.5473762
## 597 0 0.9815211048 -0.20487853 1.1814426
## 598 0 -0.6399432203 0.35528590 -0.6377699
## 599 1 -0.0539975608 -1.10114163 -0.6377699
## 600 1 -0.8911560031 -1.43724030 -0.6377699
## 601 0 -0.9477060668 -1.43724030 1.1814426
## 602 0 -0.5009605639 -0.54097720 1.1814426
## 603 1 1.0930987304 -0.76504297 -0.6377699
## 604 0 -0.7088907979 -0.87707586 -0.6377699
## 605 0 -0.7895833888 -0.87707586 -0.6377699
## 606 0 1.8321645623 1.81171344 0.2718364
## 607 0 -0.1995052246 2.48391077 -1.5473762
## 608 1 -0.1707951923 0.13122013 -1.5473762
## 609 0 -0.6116681885 -1.21317452 0.2718364
## 610 0 -0.8804984911 -0.42894431 -0.6377699
## 611 0 -0.2234302515 -0.20487853 1.1814426
## 612 1 0.0915101030 0.46731879 -1.5473762
## 613 0 -0.8011109017 -0.42894431 -1.5473762
## 614 1 -0.9285660452 -1.99740473 1.1814426
## 615 0 0.1900377139 -0.76504297 0.2718364
## 616 0 -0.5229280886 -0.31691142 -0.6377699
## 617 0 -0.5551181249 -0.42894431 -1.5473762
## 618 1 -0.2036377292 0.80341745 -0.6377699
## 619 0 0.7831608815 0.24325302 1.1814426
## 620 0 -1.1112662509 -0.20487853 0.2718364
## 621 1 -0.7534783481 -1.88537185 1.1814426
## 622 1 -0.2878103240 1.13951612 0.2718364
## 623 0 -0.6764832615 -0.31691142 -0.6377699
## 624 1 0.5321655990 -0.20487853 0.2718364
## 625 0 -0.8328659375 -0.98910875 0.2718364
## 626 0 -0.8424359483 -1.10114163 -1.5473762
## 627 1 -0.4846480455 -1.43724030 1.1814426
## 628 1 1.1135437534 0.13122013 0.2718364
## 629 0 0.9973986227 2.03577922 1.1814426
## 630 0 0.4851855461 -0.31691142 1.1814426
## 631 0 -0.8108984128 2.03577922 -0.6377699
## 632 0 0.7607583563 -0.31691142 -1.5473762
## 633 1 0.1023851152 0.13122013 -0.6377699
## 634 0 -0.7732708704 -0.09284565 -1.5473762
## 635 0 0.7818558801 0.69138457 0.2718364
## 636 0 -0.8731034828 -0.20487853 1.1814426
## 637 0 2.4522577603 0.57935168 1.1814426
## 638 0 0.4867080479 -0.31691142 1.1814426
## 639 1 -0.7971958973 -1.43724030 -0.6377699
## 640 0 -0.7284658200 -1.10114163 0.2718364
## 641 0 -0.8041559052 -0.76504297 1.1814426
## 642 0 -0.4224429755 0.35528590 -0.6377699
## 643 0 2.2545500378 2.03577922 0.2718364
## 644 1 -0.8881109997 -0.31691142 1.1814426
## 645 0 -0.9316110486 0.46731879 -1.5473762
## 646 0 0.9710810931 0.35528590 0.2718364
## 647 0 -0.9757635983 -2.10943762 0.2718364
## 648 0 -0.8885460002 -1.21317452 1.1814426
## 649 0 -0.4520230088 -0.20487853 0.2718364
## 650 1 -0.9187785342 0.35528590 -1.5473762
## 651 0 -0.8570084647 -0.20487853 1.1814426
## 652 1 -0.2545327865 2.59594365 -0.6377699
## 653 0 1.5461517404 0.35528590 -0.6377699
## 654 0 1.3297389968 1.25154900 -1.5473762
## 655 0 -0.5429381111 -1.66130607 0.2718364
## 656 1 -0.3587154038 -1.21317452 -1.5473762
## 657 0 1.3266939934 1.58764767 -0.6377699
## 658 0 2.0970798605 1.92374633 -0.6377699
## 659 1 -0.0779225877 0.46731879 1.1814426
## 660 0 0.0236500266 -0.09284565 -0.6377699
## 661 0 -0.2351752647 -0.54097720 -1.5473762
## 662 0 -0.7878433868 -0.31691142 1.1814426
## 663 1 0.8651584738 1.02748323 0.2718364
## 664 0 -0.5379356055 -0.20487853 -0.6377699
## 665 0 -0.3963429461 -0.31691142 -0.6377699
## 666 1 -0.0209375236 -0.87707586 1.1814426
## 667 0 0.3322828740 -0.87707586 -0.6377699
## 668 0 -0.6486432301 -0.42894431 -1.5473762
## 669 0 -0.3278303690 -0.54097720 1.1814426
## 670 0 2.4770527882 1.92374633 1.1814426
## 671 0 1.5820392808 0.01918724 -1.5473762
## 672 0 -0.1925452167 -0.42894431 1.1814426
## 673 0 -0.3245678653 -0.98910875 0.2718364
## 674 1 -0.9500985695 -0.20487853 1.1814426
## 675 0 -0.6249357034 -1.10114163 -0.6377699
## 676 0 2.6967280355 1.02748323 1.1814426
## 677 0 -0.2527927845 -0.09284565 0.2718364
## 678 0 -0.0146300165 0.35528590 1.1814426
## 679 0 -0.2738903083 -0.09284565 1.1814426
## 680 0 -0.8833259943 -0.65301008 -0.6377699
## 681 0 -0.4642030225 -1.32520741 0.2718364
## 682 0 -0.8987685117 0.69138457 1.1814426
## 683 0 -0.2269102554 -0.09284565 -1.5473762
## 684 1 0.6631007464 2.25984499 0.2718364
## 685 0 -0.7998059003 -0.98910875 0.2718364
## 686 0 0.9260585424 -0.65301008 0.2718364
## 687 1 0.2528952847 -0.87707586 0.2718364
## 688 0 -0.8195984226 -0.42894431 0.2718364
## 689 0 -1.1501987947 -1.99740473 -0.6377699
## 690 0 -0.8261234299 0.13122013 -1.5473762
## 691 0 -0.0681350767 0.13122013 0.2718364
## 692 1 1.1872763364 1.13951612 -1.5473762
## 693 0 0.0849850957 0.57935168 -1.5473762
## 694 1 -0.8928960051 -0.76504297 0.2718364
## 695 0 0.6818057675 0.01918724 0.2718364
## 696 1 -0.6734382580 1.13951612 1.1814426
## 697 0 1.9165546573 1.25154900 0.2718364
## 698 0 -0.1035876166 -0.09284565 1.1814426
## 699 1 -1.0486261804 -2.10943762 -0.6377699
## 700 0 2.7602381070 1.02748323 1.1814426
## 701 0 -0.7800133780 -0.87707586 1.1814426
## 702 0 -0.1470876656 -0.31691142 -0.6377699
## 703 1 0.8671159760 -0.20487853 0.2718364
## 704 1 -0.9226935386 -1.21317452 1.1814426
## 705 0 -0.8968110095 2.48391077 -0.6377699
## 706 0 -0.0348575392 0.46731879 1.1814426
## 707 0 0.1008626135 1.92374633 1.1814426
## 708 0 -0.9311760482 -0.65301008 1.1814426
## 709 0 -0.5846981582 0.13122013 1.1814426
## 710 0 2.5085903237 1.47561478 -1.5473762
## 711 1 1.2018488528 -0.76504297 -0.6377699
## 712 0 1.6807843919 2.25984499 -1.5473762
## 713 0 -0.8333009380 1.25154900 1.1814426
## 714 0 0.7196508101 -0.09284565 -1.5473762
## 715 0 0.2602902930 -0.09284565 -1.5473762
## 716 0 -1.0516711838 -1.43724030 1.1814426
## 717 0 0.0408325460 -0.76504297 0.2718364
## 718 0 -0.5938331684 -0.98910875 0.2718364
## 719 1 -0.3935154430 -0.20487853 1.1814426
## 720 0 0.2750803096 -0.98910875 1.1814426
## 721 0 0.6620132452 0.01918724 0.2718364
## 722 0 -0.1353426523 0.01918724 0.2718364
## 723 0 -0.7382533310 -0.31691142 1.1814426
## 724 0 0.5367331042 -0.09284565 1.1814426
## 725 0 -0.5268430930 0.57935168 1.1814426
## 726 0 -0.3245678653 -1.32520741 -1.5473762
## 727 0 -0.7432558366 0.01918724 0.2718364
## 728 1 -0.5601206305 -0.31691142 1.1814426
## 729 1 -0.8809334916 -1.21317452 0.2718364
## 730 0 -0.8411309468 -1.66130607 0.2718364
## 731 0 -0.3534953979 0.69138457 -1.5473762
## 732 1 -0.2506177821 0.24325302 1.1814426
## 733 0 -0.7671808636 -1.10114163 -1.5473762
## 734 0 -0.3661104121 -0.54097720 1.1814426
## 735 0 -0.7434733369 -0.31691142 -1.5473762
## 736 0 0.0238675269 -1.10114163 -1.5473762
## 737 0 1.2268613810 0.24325302 -0.6377699
## 738 0 -0.2651902985 2.48391077 0.2718364
## 739 0 -0.3891654381 -0.20487853 0.2718364
## 740 0 -0.5892656633 -0.20487853 -1.5473762
## 741 0 0.4891005505 -1.32520741 -1.5473762
## 742 0 1.1237662649 -0.65301008 0.2718364
## 743 0 -0.4578955154 0.01918724 -1.5473762
## 744 0 -0.6732207578 -1.54927318 0.2718364
## 745 1 -0.3226103631 -1.32520741 -1.5473762
## 746 0 -0.8905035024 -1.43724030 0.2718364
## 747 1 -0.8820209928 -0.87707586 -1.5473762
## 748 0 -0.2277802564 -0.31691142 1.1814426
## 749 0 -0.5401106080 -1.43724030 -0.6377699
## 750 0 -0.8461334524 -0.42894431 0.2718364
## 751 1 -0.8846309958 -1.88537185 1.1814426
## 752 1 -0.8891985009 -0.65301008 1.1814426
## 753 1 1.0559061886 1.47561478 -0.6377699
## 754 0 0.2009127262 1.02748323 0.2718364
## 755 0 1.5570267526 1.92374633 -1.5473762
## 756 0 -0.5833931567 0.80341745 -1.5473762
## 757 1 -0.5168380818 -0.20487853 1.1814426
## 758 0 0.0567100638 1.36358189 -1.5473762
## 759 0 -0.6708282551 0.13122013 1.1814426
## 760 1 2.7043405441 0.91545034 -1.5473762
## 761 1 -0.8670134759 -0.87707586 1.1814426
## 762 1 2.2536800368 1.13951612 0.2718364
## 763 0 -0.0520400586 0.46731879 0.2718364
## 764 0 -0.0094100106 1.47561478 1.1814426
## 765 0 -0.5770856496 -0.31691142 0.2718364
## 766 1 -0.1351251521 0.91545034 0.2718364
## 767 0 -0.6556032380 0.46731879 -0.6377699
## 768 0 0.9878286119 0.35528590 0.2718364
## 769 0 0.2150502421 1.02748323 1.1814426
## 770 0 -0.1734051952 0.91545034 -0.6377699
## 771 0 -0.3715479182 -0.42894431 -0.6377699
## 772 0 0.8836459947 1.02748323 -0.6377699
## 773 0 0.9891336134 0.24325302 0.2718364
## 774 1 -0.6529932350 -0.09284565 1.1814426
## 775 1 0.8120884141 0.57935168 1.1814426
## 776 0 -0.6275457064 -1.54927318 -1.5473762
## 777 0 -0.9409635592 -0.76504297 0.2718364
## 778 0 -0.7750108724 -0.54097720 0.2718364
## 779 0 -0.8309084353 -1.21317452 1.1814426
## 780 1 -0.3487103925 -0.87707586 -1.5473762
## 781 1 -0.7069332957 0.46731879 -0.6377699
## 782 0 -0.3996054498 0.24325302 1.1814426
## 783 1 -0.8946360070 -0.42894431 1.1814426
## 784 0 -0.4026504532 -0.42894431 -0.6377699
## 785 0 -0.3071678458 1.13951612 0.2718364
## 786 0 2.1819049560 -0.65301008 -1.5473762
## 787 0 1.4628491466 1.58764767 -1.5473762
## 788 0 -0.3152153548 1.69968055 0.2718364
## 789 0 2.7508855965 2.03577922 0.2718364
## 790 0 -0.9340035513 -1.32520741 1.1814426
## 791 0 -0.3482753920 1.36358189 0.2718364
## 792 0 -0.8872409987 -0.31691142 1.1814426
## 793 1 0.2970478344 0.13122013 1.1814426
## 794 0 0.8059984073 -0.09284565 0.2718364
## 795 1 0.0899876013 1.36358189 1.1814426
## 796 1 -0.6616932448 -0.42894431 -1.5473762
## 797 1 1.5454992397 0.91545034 0.2718364
## 798 1 -0.8683184774 -1.66130607 0.2718364
## 799 1 -0.9855511094 -1.99740473 -1.5473762
## 800 0 0.0982526106 -0.09284565 1.1814426
## 801 0 -0.2206027483 -0.42894431 0.2718364
## 802 1 0.0417025469 -0.65301008 -0.6377699
## 803 1 2.3224101142 0.24325302 0.2718364
## 804 1 0.6942032814 -0.20487853 1.1814426
## 805 0 -0.9457485646 0.80341745 -0.6377699
## 806 1 0.4199354727 -0.09284565 1.1814426
## 807 0 -0.0344225387 -1.32520741 -1.5473762
## 808 0 -0.8846309958 -1.66130607 0.2718364
## 809 0 -0.7673983638 -0.76504297 -0.6377699
## 810 1 -0.7247683158 -1.10114163 0.2718364
## 811 0 -0.7217233124 -0.76504297 0.2718364
## 812 0 -0.6875757740 -1.32520741 -1.5473762
## 813 1 -0.4633330215 -1.43724030 1.1814426
## 814 0 2.8857357483 1.13951612 1.1814426
## 815 0 -0.7593508547 0.13122013 -0.6377699
## 816 0 -0.7850158836 -0.42894431 -1.5473762
## 817 1 0.1058651192 -0.76504297 0.2718364
## 818 0 1.1529112977 -0.42894431 0.2718364
## 819 0 -0.7982833986 -0.76504297 -0.6377699
## 820 1 0.7533633480 -0.98910875 1.1814426
## 821 0 -0.6695232536 -0.54097720 -0.6377699
## 822 0 0.1176101324 -0.87707586 1.1814426
## 823 0 0.0699775788 -0.31691142 1.1814426
## 824 0 -0.8222084255 -0.65301008 0.2718364
## 825 1 -0.3756804229 -0.09284565 0.2718364
## 826 0 2.8789932407 1.02748323 1.1814426
## 827 0 0.3851354335 -0.65301008 -1.5473762
## 828 1 -0.4028679535 -0.31691142 0.2718364
## 829 0 -0.8530934603 0.13122013 0.2718364
## 830 0 2.5686203913 1.47561478 -1.5473762
## 831 1 -0.5997056750 0.91545034 1.1814426
## 832 1 -1.0255711544 -1.99740473 1.1814426
## 833 0 -0.6947532820 -0.98910875 1.1814426
## 834 0 -0.8348234397 -1.99740473 0.2718364
## 835 1 1.5631167595 2.03577922 1.1814426
## 836 0 0.5315130983 0.01918724 -1.5473762
## 837 1 -0.7382533310 0.01918724 0.2718364
## 838 0 -0.2290852579 -0.31691142 1.1814426
## 839 1 0.8575459653 1.13951612 0.2718364
## 840 0 2.8872582500 1.25154900 1.1814426
## 841 0 -1.0810337168 -2.10943762 0.2718364
## 842 0 0.3475078912 -0.87707586 -0.6377699
## 843 0 1.6172743204 1.69968055 0.2718364
## 844 0 0.4588680165 -0.31691142 1.1814426
## 845 0 -0.0785750884 -0.31691142 1.1814426
## 846 0 -0.3985179486 -0.98910875 0.2718364
## 847 0 -1.0673312014 -1.99740473 -0.6377699
## 848 0 0.7009457890 0.24325302 0.2718364
## 849 1 -0.0022325025 0.35528590 0.2718364
## 850 0 -0.8365634417 -1.21317452 0.2718364
## 851 1 -0.3983004483 -0.65301008 -0.6377699
## 852 0 -0.9100785244 -0.76504297 1.1814426
## 853 1 -0.4779055379 -0.87707586 1.1814426
## 854 0 -0.1586151785 -0.98910875 -0.6377699
## 855 1 -0.3484928923 -0.20487853 1.1814426
## 856 0 -0.8670134759 -0.20487853 1.1814426
## 857 1 -0.8119859140 -0.76504297 1.1814426
## 858 0 0.5552206250 -0.65301008 0.2718364
## 859 0 -0.9031185166 0.46731879 0.2718364
## 860 0 0.3453328887 0.80341745 -1.5473762
## 861 0 -0.7726183697 1.58764767 -0.6377699
## 862 0 0.8353609403 0.69138457 1.1814426
## 863 1 -0.2362627659 -0.31691142 -1.5473762
## 864 1 1.6050943067 1.13951612 1.1814426
## 865 1 0.6502682320 0.91545034 -0.6377699
## 866 0 0.3279328691 1.25154900 1.1814426
## 867 0 -0.4187454713 -0.54097720 0.2718364
## 868 1 -0.3913404405 1.13951612 0.2718364
## 869 1 -0.4161354684 0.91545034 -1.5473762
## 870 0 -0.4274454811 -0.20487853 -0.6377699
## OverTimeScale YearsAtCompanyScale
## 1 -0.6381993 -0.325868996
## 2 -0.6381993 2.165396614
## 3 -0.6381993 -0.824122118
## 4 -0.6381993 1.168890370
## 5 1.5651077 -0.159784622
## 6 -0.6381993 0.338468500
## 7 1.5651077 -0.491953370
## 8 1.5651077 -0.990206492
## 9 1.5651077 -0.990206492
## 10 -0.6381993 0.172384126
## 11 -0.6381993 1.501059118
## 12 -0.6381993 -0.658037744
## 13 -0.6381993 0.172384126
## 14 -0.6381993 -0.990206492
## 15 -0.6381993 0.006299752
## 16 -0.6381993 0.338468500
## 17 -0.6381993 0.172384126
## 18 -0.6381993 -0.990206492
## 19 1.5651077 -0.325868996
## 20 -0.6381993 -0.824122118
## 21 1.5651077 -0.658037744
## 22 -0.6381993 -0.824122118
## 23 1.5651077 0.172384126
## 24 -0.6381993 -0.325868996
## 25 -0.6381993 -0.325868996
## 26 -0.6381993 2.497565362
## 27 -0.6381993 0.338468500
## 28 1.5651077 -0.325868996
## 29 1.5651077 -0.824122118
## 30 -0.6381993 -0.491953370
## 31 -0.6381993 0.172384126
## 32 -0.6381993 1.168890370
## 33 1.5651077 0.006299752
## 34 -0.6381993 0.172384126
## 35 -0.6381993 -0.990206492
## 36 -0.6381993 -0.325868996
## 37 -0.6381993 1.002805996
## 38 1.5651077 -0.824122118
## 39 -0.6381993 0.006299752
## 40 -0.6381993 -0.824122118
## 41 -0.6381993 1.501059118
## 42 -0.6381993 0.172384126
## 43 1.5651077 -0.824122118
## 44 -0.6381993 -0.990206492
## 45 -0.6381993 -0.990206492
## 46 -0.6381993 0.836721622
## 47 -0.6381993 -1.156290866
## 48 1.5651077 0.172384126
## 49 1.5651077 -1.156290866
## 50 -0.6381993 -0.824122118
## 51 -0.6381993 -1.156290866
## 52 1.5651077 0.338468500
## 53 -0.6381993 0.504552874
## 54 -0.6381993 0.338468500
## 55 -0.6381993 0.670637248
## 56 -0.6381993 -0.325868996
## 57 1.5651077 -0.824122118
## 58 1.5651077 0.504552874
## 59 1.5651077 -0.325868996
## 60 1.5651077 -0.990206492
## 61 1.5651077 1.501059118
## 62 -0.6381993 0.006299752
## 63 -0.6381993 -0.824122118
## 64 -0.6381993 -1.156290866
## 65 -0.6381993 -0.990206492
## 66 1.5651077 -0.159784622
## 67 -0.6381993 1.667143492
## 68 -0.6381993 -0.325868996
## 69 -0.6381993 -0.658037744
## 70 -0.6381993 1.667143492
## 71 -0.6381993 -0.325868996
## 72 -0.6381993 -0.325868996
## 73 1.5651077 -0.990206492
## 74 1.5651077 -0.990206492
## 75 1.5651077 0.172384126
## 76 -0.6381993 0.836721622
## 77 1.5651077 0.504552874
## 78 -0.6381993 3.161902858
## 79 -0.6381993 1.999312240
## 80 1.5651077 -0.990206492
## 81 -0.6381993 -0.990206492
## 82 -0.6381993 0.006299752
## 83 -0.6381993 0.172384126
## 84 1.5651077 0.006299752
## 85 1.5651077 1.501059118
## 86 1.5651077 -0.325868996
## 87 -0.6381993 0.006299752
## 88 1.5651077 -0.491953370
## 89 -0.6381993 0.338468500
## 90 -0.6381993 -0.824122118
## 91 1.5651077 -0.990206492
## 92 -0.6381993 0.670637248
## 93 1.5651077 -1.156290866
## 94 1.5651077 -0.325868996
## 95 -0.6381993 -0.325868996
## 96 -0.6381993 2.165396614
## 97 -0.6381993 1.002805996
## 98 -0.6381993 -0.990206492
## 99 -0.6381993 -0.658037744
## 100 -0.6381993 -0.325868996
## 101 -0.6381993 -0.325868996
## 102 -0.6381993 1.002805996
## 103 -0.6381993 -0.658037744
## 104 -0.6381993 -0.658037744
## 105 -0.6381993 0.338468500
## 106 -0.6381993 0.172384126
## 107 -0.6381993 0.504552874
## 108 1.5651077 0.504552874
## 109 -0.6381993 0.338468500
## 110 -0.6381993 -0.491953370
## 111 1.5651077 -0.658037744
## 112 -0.6381993 0.338468500
## 113 -0.6381993 0.172384126
## 114 -0.6381993 -0.990206492
## 115 1.5651077 0.006299752
## 116 1.5651077 0.504552874
## 117 -0.6381993 -0.491953370
## 118 1.5651077 -0.491953370
## 119 -0.6381993 0.338468500
## 120 -0.6381993 1.168890370
## 121 -0.6381993 0.172384126
## 122 1.5651077 -0.824122118
## 123 1.5651077 -0.325868996
## 124 -0.6381993 0.006299752
## 125 -0.6381993 0.504552874
## 126 1.5651077 0.504552874
## 127 1.5651077 0.504552874
## 128 -0.6381993 0.338468500
## 129 1.5651077 2.165396614
## 130 -0.6381993 1.999312240
## 131 1.5651077 0.504552874
## 132 -0.6381993 -0.325868996
## 133 -0.6381993 -0.159784622
## 134 -0.6381993 -0.325868996
## 135 -0.6381993 0.338468500
## 136 -0.6381993 0.172384126
## 137 1.5651077 -0.990206492
## 138 -0.6381993 0.504552874
## 139 1.5651077 -0.824122118
## 140 -0.6381993 -0.325868996
## 141 1.5651077 1.999312240
## 142 -0.6381993 -0.824122118
## 143 -0.6381993 0.172384126
## 144 -0.6381993 -0.325868996
## 145 -0.6381993 0.836721622
## 146 -0.6381993 -0.491953370
## 147 -0.6381993 0.172384126
## 148 -0.6381993 -0.824122118
## 149 -0.6381993 -0.491953370
## 150 -0.6381993 -0.325868996
## 151 -0.6381993 -0.658037744
## 152 -0.6381993 0.504552874
## 153 -0.6381993 1.002805996
## 154 -0.6381993 -0.658037744
## 155 -0.6381993 -0.990206492
## 156 1.5651077 -0.824122118
## 157 -0.6381993 0.670637248
## 158 -0.6381993 1.833227866
## 159 -0.6381993 0.172384126
## 160 1.5651077 -0.990206492
## 161 1.5651077 0.504552874
## 162 -0.6381993 0.504552874
## 163 -0.6381993 -0.325868996
## 164 1.5651077 -0.658037744
## 165 -0.6381993 0.670637248
## 166 -0.6381993 -0.824122118
## 167 -0.6381993 -0.491953370
## 168 -0.6381993 -0.159784622
## 169 1.5651077 0.504552874
## 170 -0.6381993 0.006299752
## 171 -0.6381993 0.172384126
## 172 -0.6381993 0.172384126
## 173 -0.6381993 -0.824122118
## 174 1.5651077 0.338468500
## 175 -0.6381993 1.667143492
## 176 1.5651077 -0.824122118
## 177 1.5651077 -0.325868996
## 178 1.5651077 -0.658037744
## 179 -0.6381993 0.338468500
## 180 -0.6381993 0.172384126
## 181 -0.6381993 0.006299752
## 182 -0.6381993 0.006299752
## 183 -0.6381993 -0.658037744
## 184 -0.6381993 -0.824122118
## 185 -0.6381993 0.172384126
## 186 -0.6381993 -0.325868996
## 187 -0.6381993 0.006299752
## 188 -0.6381993 -0.658037744
## 189 -0.6381993 0.504552874
## 190 -0.6381993 -0.325868996
## 191 -0.6381993 0.504552874
## 192 -0.6381993 -0.658037744
## 193 -0.6381993 0.504552874
## 194 -0.6381993 0.338468500
## 195 -0.6381993 -0.491953370
## 196 -0.6381993 -0.990206492
## 197 -0.6381993 -0.491953370
## 198 -0.6381993 0.338468500
## 199 -0.6381993 2.497565362
## 200 -0.6381993 -0.990206492
## 201 1.5651077 -0.990206492
## 202 -0.6381993 0.504552874
## 203 -0.6381993 1.168890370
## 204 1.5651077 0.006299752
## 205 -0.6381993 -0.491953370
## 206 1.5651077 0.172384126
## 207 -0.6381993 -0.491953370
## 208 1.5651077 -0.990206492
## 209 -0.6381993 -0.658037744
## 210 1.5651077 0.338468500
## 211 -0.6381993 2.165396614
## 212 -0.6381993 -0.990206492
## 213 -0.6381993 -0.990206492
## 214 1.5651077 -0.491953370
## 215 -0.6381993 -0.491953370
## 216 -0.6381993 -0.658037744
## 217 -0.6381993 -0.990206492
## 218 -0.6381993 2.497565362
## 219 -0.6381993 -0.325868996
## 220 1.5651077 0.172384126
## 221 -0.6381993 -0.159784622
## 222 -0.6381993 -0.990206492
## 223 1.5651077 -0.159784622
## 224 -0.6381993 -0.990206492
## 225 -0.6381993 -0.325868996
## 226 -0.6381993 0.836721622
## 227 -0.6381993 -0.990206492
## 228 1.5651077 -0.491953370
## 229 -0.6381993 -0.658037744
## 230 1.5651077 1.334974744
## 231 -0.6381993 0.504552874
## 232 -0.6381993 -0.824122118
## 233 -0.6381993 2.663649736
## 234 -0.6381993 -0.159784622
## 235 1.5651077 2.995818484
## 236 -0.6381993 1.168890370
## 237 -0.6381993 2.497565362
## 238 1.5651077 -0.159784622
## 239 -0.6381993 -0.824122118
## 240 -0.6381993 1.168890370
## 241 1.5651077 0.504552874
## 242 -0.6381993 -1.156290866
## 243 -0.6381993 -0.325868996
## 244 -0.6381993 -0.658037744
## 245 1.5651077 0.504552874
## 246 -0.6381993 -0.491953370
## 247 1.5651077 0.670637248
## 248 -0.6381993 -0.824122118
## 249 1.5651077 -0.159784622
## 250 -0.6381993 1.833227866
## 251 -0.6381993 -0.990206492
## 252 -0.6381993 0.006299752
## 253 -0.6381993 -0.990206492
## 254 -0.6381993 -0.990206492
## 255 -0.6381993 0.338468500
## 256 -0.6381993 -0.658037744
## 257 -0.6381993 -0.824122118
## 258 -0.6381993 -0.658037744
## 259 1.5651077 -0.325868996
## 260 1.5651077 -0.824122118
## 261 -0.6381993 -0.990206492
## 262 -0.6381993 0.338468500
## 263 1.5651077 -0.325868996
## 264 -0.6381993 -0.658037744
## 265 -0.6381993 -0.325868996
## 266 -0.6381993 -0.325868996
## 267 -0.6381993 1.168890370
## 268 -0.6381993 -0.990206492
## 269 -0.6381993 0.338468500
## 270 -0.6381993 -0.159784622
## 271 -0.6381993 0.172384126
## 272 -0.6381993 0.670637248
## 273 -0.6381993 0.338468500
## 274 -0.6381993 -0.658037744
## 275 -0.6381993 2.829734110
## 276 -0.6381993 -0.325868996
## 277 -0.6381993 -0.824122118
## 278 -0.6381993 0.172384126
## 279 1.5651077 -0.159784622
## 280 1.5651077 -0.658037744
## 281 1.5651077 0.504552874
## 282 1.5651077 1.833227866
## 283 -0.6381993 -0.325868996
## 284 -0.6381993 0.006299752
## 285 -0.6381993 0.006299752
## 286 1.5651077 1.334974744
## 287 1.5651077 -0.990206492
## 288 -0.6381993 -0.824122118
## 289 -0.6381993 0.338468500
## 290 -0.6381993 -0.658037744
## 291 -0.6381993 -0.325868996
## 292 -0.6381993 0.338468500
## 293 -0.6381993 0.006299752
## 294 -0.6381993 1.002805996
## 295 1.5651077 2.331480988
## 296 1.5651077 -0.824122118
## 297 -0.6381993 0.504552874
## 298 1.5651077 0.338468500
## 299 1.5651077 -0.658037744
## 300 1.5651077 -0.658037744
## 301 -0.6381993 0.504552874
## 302 -0.6381993 0.338468500
## 303 -0.6381993 -0.491953370
## 304 -0.6381993 0.504552874
## 305 -0.6381993 -0.990206492
## 306 -0.6381993 -0.325868996
## 307 -0.6381993 -0.990206492
## 308 -0.6381993 -1.156290866
## 309 1.5651077 0.172384126
## 310 -0.6381993 -0.658037744
## 311 -0.6381993 -0.824122118
## 312 -0.6381993 2.165396614
## 313 -0.6381993 0.006299752
## 314 -0.6381993 -0.990206492
## 315 -0.6381993 -0.824122118
## 316 1.5651077 0.338468500
## 317 -0.6381993 -0.491953370
## 318 -0.6381993 -0.491953370
## 319 1.5651077 -0.325868996
## 320 1.5651077 -0.990206492
## 321 -0.6381993 -0.658037744
## 322 -0.6381993 0.504552874
## 323 -0.6381993 -0.325868996
## 324 1.5651077 1.501059118
## 325 -0.6381993 2.331480988
## 326 -0.6381993 -0.990206492
## 327 1.5651077 2.497565362
## 328 1.5651077 -0.491953370
## 329 1.5651077 2.165396614
## 330 -0.6381993 2.165396614
## 331 -0.6381993 0.172384126
## 332 -0.6381993 1.168890370
## 333 1.5651077 -0.325868996
## 334 -0.6381993 0.338468500
## 335 -0.6381993 -0.658037744
## 336 -0.6381993 1.002805996
## 337 -0.6381993 -0.325868996
## 338 -0.6381993 -0.159784622
## 339 1.5651077 -1.156290866
## 340 -0.6381993 -0.990206492
## 341 1.5651077 -0.990206492
## 342 1.5651077 -0.824122118
## 343 -0.6381993 -0.658037744
## 344 -0.6381993 -0.990206492
## 345 -0.6381993 -0.491953370
## 346 -0.6381993 2.165396614
## 347 -0.6381993 -0.658037744
## 348 -0.6381993 -0.159784622
## 349 -0.6381993 -1.156290866
## 350 -0.6381993 0.504552874
## 351 -0.6381993 1.002805996
## 352 -0.6381993 0.172384126
## 353 1.5651077 -0.990206492
## 354 1.5651077 -0.824122118
## 355 1.5651077 2.497565362
## 356 -0.6381993 1.002805996
## 357 -0.6381993 -0.325868996
## 358 -0.6381993 -0.824122118
## 359 1.5651077 0.338468500
## 360 -0.6381993 1.334974744
## 361 -0.6381993 4.324493476
## 362 -0.6381993 -0.990206492
## 363 -0.6381993 4.158409102
## 364 -0.6381993 2.331480988
## 365 -0.6381993 1.999312240
## 366 -0.6381993 0.006299752
## 367 -0.6381993 0.670637248
## 368 -0.6381993 0.172384126
## 369 -0.6381993 -0.824122118
## 370 -0.6381993 0.006299752
## 371 -0.6381993 -0.491953370
## 372 -0.6381993 0.338468500
## 373 -0.6381993 2.829734110
## 374 -0.6381993 0.172384126
## 375 -0.6381993 -0.824122118
## 376 1.5651077 4.158409102
## 377 -0.6381993 1.667143492
## 378 1.5651077 -1.156290866
## 379 1.5651077 -0.325868996
## 380 1.5651077 -0.325868996
## 381 -0.6381993 -0.658037744
## 382 -0.6381993 0.172384126
## 383 -0.6381993 -0.824122118
## 384 -0.6381993 -1.156290866
## 385 1.5651077 0.504552874
## 386 -0.6381993 1.334974744
## 387 -0.6381993 0.504552874
## 388 -0.6381993 -0.658037744
## 389 -0.6381993 1.002805996
## 390 1.5651077 -0.658037744
## 391 -0.6381993 -0.658037744
## 392 1.5651077 -0.824122118
## 393 1.5651077 -0.491953370
## 394 -0.6381993 1.833227866
## 395 1.5651077 -0.824122118
## 396 1.5651077 -0.824122118
## 397 -0.6381993 -0.658037744
## 398 -0.6381993 -0.824122118
## 399 -0.6381993 1.002805996
## 400 1.5651077 -0.824122118
## 401 -0.6381993 -0.325868996
## 402 -0.6381993 -0.325868996
## 403 -0.6381993 -0.824122118
## 404 -0.6381993 -0.658037744
## 405 -0.6381993 -0.159784622
## 406 1.5651077 -0.990206492
## 407 -0.6381993 0.836721622
## 408 -0.6381993 0.006299752
## 409 -0.6381993 2.995818484
## 410 -0.6381993 -0.491953370
## 411 -0.6381993 -0.325868996
## 412 -0.6381993 0.504552874
## 413 -0.6381993 -0.990206492
## 414 -0.6381993 -1.156290866
## 415 -0.6381993 -0.824122118
## 416 -0.6381993 0.006299752
## 417 -0.6381993 0.670637248
## 418 -0.6381993 -0.990206492
## 419 -0.6381993 1.168890370
## 420 -0.6381993 0.504552874
## 421 -0.6381993 -0.325868996
## 422 1.5651077 1.002805996
## 423 1.5651077 0.006299752
## 424 -0.6381993 -1.156290866
## 425 -0.6381993 -0.325868996
## 426 -0.6381993 -0.990206492
## 427 -0.6381993 -0.990206492
## 428 -0.6381993 -0.658037744
## 429 1.5651077 -0.658037744
## 430 -0.6381993 0.670637248
## 431 1.5651077 -0.325868996
## 432 -0.6381993 -0.491953370
## 433 -0.6381993 -0.491953370
## 434 -0.6381993 -0.990206492
## 435 -0.6381993 -0.990206492
## 436 -0.6381993 0.172384126
## 437 -0.6381993 -0.824122118
## 438 -0.6381993 0.006299752
## 439 1.5651077 -0.658037744
## 440 -0.6381993 0.338468500
## 441 1.5651077 0.172384126
## 442 -0.6381993 -0.325868996
## 443 -0.6381993 -1.156290866
## 444 1.5651077 -0.824122118
## 445 1.5651077 -0.824122118
## 446 -0.6381993 -0.159784622
## 447 -0.6381993 1.002805996
## 448 -0.6381993 -1.156290866
## 449 -0.6381993 0.504552874
## 450 -0.6381993 0.504552874
## 451 1.5651077 0.338468500
## 452 -0.6381993 -0.325868996
## 453 1.5651077 0.504552874
## 454 -0.6381993 0.504552874
## 455 -0.6381993 -0.658037744
## 456 -0.6381993 2.331480988
## 457 -0.6381993 0.504552874
## 458 1.5651077 0.504552874
## 459 -0.6381993 -0.658037744
## 460 -0.6381993 0.504552874
## 461 -0.6381993 -0.824122118
## 462 -0.6381993 -0.491953370
## 463 -0.6381993 -0.824122118
## 464 -0.6381993 -0.325868996
## 465 1.5651077 -0.990206492
## 466 1.5651077 -0.658037744
## 467 1.5651077 -0.658037744
## 468 -0.6381993 -0.990206492
## 469 -0.6381993 -0.824122118
## 470 -0.6381993 -0.491953370
## 471 -0.6381993 -0.325868996
## 472 1.5651077 -0.990206492
## 473 1.5651077 -1.156290866
## 474 -0.6381993 -0.159784622
## 475 -0.6381993 -0.491953370
## 476 1.5651077 0.338468500
## 477 -0.6381993 -0.990206492
## 478 -0.6381993 -1.156290866
## 479 -0.6381993 -0.325868996
## 480 1.5651077 1.501059118
## 481 -0.6381993 -0.325868996
## 482 1.5651077 -0.159784622
## 483 1.5651077 1.334974744
## 484 1.5651077 -0.824122118
## 485 -0.6381993 5.487084094
## 486 1.5651077 -0.159784622
## 487 -0.6381993 -0.990206492
## 488 -0.6381993 -0.325868996
## 489 1.5651077 -0.990206492
## 490 -0.6381993 -0.325868996
## 491 1.5651077 -0.658037744
## 492 1.5651077 -0.658037744
## 493 -0.6381993 -0.325868996
## 494 -0.6381993 0.670637248
## 495 1.5651077 0.504552874
## 496 -0.6381993 2.165396614
## 497 -0.6381993 -0.824122118
## 498 1.5651077 -0.491953370
## 499 -0.6381993 0.006299752
## 500 -0.6381993 -0.658037744
## 501 1.5651077 0.504552874
## 502 1.5651077 -0.491953370
## 503 1.5651077 0.338468500
## 504 -0.6381993 0.504552874
## 505 -0.6381993 2.165396614
## 506 -0.6381993 0.006299752
## 507 1.5651077 -0.990206492
## 508 -0.6381993 -0.491953370
## 509 -0.6381993 0.338468500
## 510 -0.6381993 2.497565362
## 511 -0.6381993 0.504552874
## 512 -0.6381993 -0.159784622
## 513 -0.6381993 -0.325868996
## 514 1.5651077 1.334974744
## 515 -0.6381993 -0.658037744
## 516 -0.6381993 -0.491953370
## 517 1.5651077 -0.990206492
## 518 -0.6381993 -0.325868996
## 519 -0.6381993 0.338468500
## 520 -0.6381993 -0.491953370
## 521 -0.6381993 -0.325868996
## 522 1.5651077 -0.990206492
## 523 -0.6381993 -0.990206492
## 524 1.5651077 3.992324728
## 525 -0.6381993 -0.990206492
## 526 -0.6381993 1.334974744
## 527 1.5651077 -0.325868996
## 528 1.5651077 -0.159784622
## 529 -0.6381993 -0.159784622
## 530 1.5651077 -0.325868996
## 531 -0.6381993 1.999312240
## 532 -0.6381993 -0.990206492
## 533 -0.6381993 0.504552874
## 534 -0.6381993 -0.325868996
## 535 1.5651077 0.006299752
## 536 -0.6381993 -0.325868996
## 537 -0.6381993 -0.990206492
## 538 1.5651077 -0.658037744
## 539 1.5651077 -0.325868996
## 540 -0.6381993 -0.159784622
## 541 -0.6381993 0.504552874
## 542 -0.6381993 0.504552874
## 543 1.5651077 -0.990206492
## 544 -0.6381993 -0.990206492
## 545 -0.6381993 -0.159784622
## 546 -0.6381993 0.504552874
## 547 -0.6381993 3.161902858
## 548 -0.6381993 -0.990206492
## 549 -0.6381993 0.504552874
## 550 -0.6381993 -0.159784622
## 551 -0.6381993 2.497565362
## 552 -0.6381993 -0.325868996
## 553 -0.6381993 0.504552874
## 554 -0.6381993 -1.156290866
## 555 -0.6381993 -0.658037744
## 556 1.5651077 -0.658037744
## 557 -0.6381993 -0.990206492
## 558 1.5651077 -0.159784622
## 559 -0.6381993 0.338468500
## 560 -0.6381993 0.172384126
## 561 -0.6381993 0.172384126
## 562 1.5651077 -0.824122118
## 563 -0.6381993 -0.824122118
## 564 -0.6381993 0.670637248
## 565 -0.6381993 -0.824122118
## 566 1.5651077 -0.491953370
## 567 -0.6381993 -0.159784622
## 568 -0.6381993 0.504552874
## 569 -0.6381993 -0.325868996
## 570 1.5651077 0.836721622
## 571 -0.6381993 -0.325868996
## 572 -0.6381993 -0.990206492
## 573 1.5651077 0.006299752
## 574 -0.6381993 0.504552874
## 575 -0.6381993 -0.325868996
## 576 -0.6381993 0.006299752
## 577 -0.6381993 -0.990206492
## 578 -0.6381993 -0.325868996
## 579 -0.6381993 0.338468500
## 580 1.5651077 -0.159784622
## 581 -0.6381993 -0.658037744
## 582 -0.6381993 -0.990206492
## 583 1.5651077 -0.990206492
## 584 1.5651077 0.172384126
## 585 1.5651077 -0.491953370
## 586 1.5651077 0.006299752
## 587 1.5651077 1.002805996
## 588 -0.6381993 -0.325868996
## 589 -0.6381993 -0.658037744
## 590 1.5651077 -0.824122118
## 591 1.5651077 -0.491953370
## 592 1.5651077 1.334974744
## 593 -0.6381993 -0.658037744
## 594 -0.6381993 0.338468500
## 595 -0.6381993 1.833227866
## 596 -0.6381993 0.338468500
## 597 -0.6381993 1.002805996
## 598 -0.6381993 -0.990206492
## 599 1.5651077 -0.159784622
## 600 1.5651077 -0.824122118
## 601 -0.6381993 -0.990206492
## 602 -0.6381993 -0.159784622
## 603 1.5651077 0.172384126
## 604 -0.6381993 0.504552874
## 605 -0.6381993 -0.824122118
## 606 -0.6381993 -0.325868996
## 607 -0.6381993 -0.491953370
## 608 1.5651077 0.172384126
## 609 -0.6381993 0.006299752
## 610 -0.6381993 -0.824122118
## 611 -0.6381993 0.338468500
## 612 1.5651077 0.172384126
## 613 -0.6381993 0.338468500
## 614 1.5651077 -0.990206492
## 615 -0.6381993 0.172384126
## 616 -0.6381993 1.334974744
## 617 -0.6381993 -0.325868996
## 618 1.5651077 -0.491953370
## 619 -0.6381993 0.006299752
## 620 -0.6381993 -0.990206492
## 621 1.5651077 -0.990206492
## 622 1.5651077 1.999312240
## 623 -0.6381993 -0.491953370
## 624 1.5651077 0.338468500
## 625 -0.6381993 -1.156290866
## 626 -0.6381993 -0.325868996
## 627 1.5651077 -0.325868996
## 628 1.5651077 0.670637248
## 629 -0.6381993 -0.658037744
## 630 -0.6381993 0.172384126
## 631 -0.6381993 -0.325868996
## 632 -0.6381993 1.168890370
## 633 1.5651077 -0.990206492
## 634 -0.6381993 -0.990206492
## 635 -0.6381993 -0.990206492
## 636 -0.6381993 -0.824122118
## 637 -0.6381993 2.497565362
## 638 -0.6381993 0.172384126
## 639 1.5651077 -0.159784622
## 640 -0.6381993 -0.491953370
## 641 -0.6381993 -0.990206492
## 642 -0.6381993 0.006299752
## 643 -0.6381993 0.338468500
## 644 1.5651077 -0.325868996
## 645 -0.6381993 -0.990206492
## 646 -0.6381993 0.836721622
## 647 -0.6381993 -1.156290866
## 648 -0.6381993 -0.658037744
## 649 -0.6381993 1.334974744
## 650 1.5651077 -0.491953370
## 651 -0.6381993 -0.658037744
## 652 1.5651077 0.670637248
## 653 -0.6381993 1.833227866
## 654 -0.6381993 -1.156290866
## 655 -0.6381993 -0.824122118
## 656 1.5651077 -0.325868996
## 657 -0.6381993 0.504552874
## 658 -0.6381993 1.168890370
## 659 1.5651077 -0.325868996
## 660 -0.6381993 -0.159784622
## 661 -0.6381993 0.504552874
## 662 -0.6381993 0.006299752
## 663 1.5651077 0.504552874
## 664 -0.6381993 -0.658037744
## 665 -0.6381993 0.338468500
## 666 1.5651077 -0.658037744
## 667 -0.6381993 0.670637248
## 668 -0.6381993 -0.491953370
## 669 -0.6381993 0.504552874
## 670 -0.6381993 0.504552874
## 671 -0.6381993 -0.325868996
## 672 -0.6381993 -0.159784622
## 673 -0.6381993 -0.491953370
## 674 1.5651077 0.504552874
## 675 -0.6381993 -0.658037744
## 676 -0.6381993 0.670637248
## 677 -0.6381993 0.338468500
## 678 -0.6381993 0.504552874
## 679 -0.6381993 -0.491953370
## 680 -0.6381993 0.006299752
## 681 -0.6381993 -0.325868996
## 682 -0.6381993 -0.658037744
## 683 -0.6381993 -0.658037744
## 684 1.5651077 -0.325868996
## 685 -0.6381993 -0.325868996
## 686 -0.6381993 1.002805996
## 687 1.5651077 0.172384126
## 688 -0.6381993 -0.658037744
## 689 -0.6381993 -0.990206492
## 690 -0.6381993 0.670637248
## 691 -0.6381993 -0.159784622
## 692 1.5651077 0.504552874
## 693 -0.6381993 -0.990206492
## 694 1.5651077 -0.990206492
## 695 -0.6381993 -0.159784622
## 696 1.5651077 -0.658037744
## 697 -0.6381993 -0.824122118
## 698 -0.6381993 1.002805996
## 699 1.5651077 -1.156290866
## 700 -0.6381993 -0.491953370
## 701 -0.6381993 -0.990206492
## 702 -0.6381993 -0.159784622
## 703 1.5651077 1.002805996
## 704 1.5651077 -0.325868996
## 705 -0.6381993 -0.824122118
## 706 -0.6381993 1.168890370
## 707 -0.6381993 0.006299752
## 708 -0.6381993 -0.658037744
## 709 -0.6381993 -0.325868996
## 710 -0.6381993 3.992324728
## 711 1.5651077 0.338468500
## 712 -0.6381993 -0.990206492
## 713 -0.6381993 -0.990206492
## 714 -0.6381993 1.002805996
## 715 -0.6381993 0.504552874
## 716 -0.6381993 -0.990206492
## 717 -0.6381993 0.504552874
## 718 -0.6381993 0.172384126
## 719 1.5651077 0.670637248
## 720 -0.6381993 0.338468500
## 721 -0.6381993 0.504552874
## 722 -0.6381993 -0.491953370
## 723 -0.6381993 -0.491953370
## 724 -0.6381993 1.168890370
## 725 -0.6381993 -1.156290866
## 726 -0.6381993 -0.491953370
## 727 -0.6381993 -0.325868996
## 728 1.5651077 -0.325868996
## 729 1.5651077 -0.990206492
## 730 -0.6381993 -0.824122118
## 731 -0.6381993 -0.990206492
## 732 1.5651077 -0.990206492
## 733 -0.6381993 -0.990206492
## 734 -0.6381993 -0.491953370
## 735 -0.6381993 -0.990206492
## 736 -0.6381993 0.172384126
## 737 -0.6381993 2.165396614
## 738 -0.6381993 -0.159784622
## 739 -0.6381993 -0.325868996
## 740 -0.6381993 -0.658037744
## 741 -0.6381993 -0.824122118
## 742 -0.6381993 -0.325868996
## 743 -0.6381993 0.504552874
## 744 -0.6381993 -0.658037744
## 745 1.5651077 -0.325868996
## 746 -0.6381993 -0.990206492
## 747 1.5651077 -0.824122118
## 748 -0.6381993 1.002805996
## 749 -0.6381993 -0.159784622
## 750 -0.6381993 -0.658037744
## 751 1.5651077 -0.824122118
## 752 1.5651077 -0.658037744
## 753 1.5651077 3.826240354
## 754 -0.6381993 0.172384126
## 755 -0.6381993 -0.491953370
## 756 -0.6381993 -0.325868996
## 757 1.5651077 0.504552874
## 758 -0.6381993 -0.658037744
## 759 -0.6381993 -1.156290866
## 760 1.5651077 2.829734110
## 761 1.5651077 -1.156290866
## 762 1.5651077 3.161902858
## 763 -0.6381993 1.999312240
## 764 -0.6381993 1.833227866
## 765 -0.6381993 -0.658037744
## 766 1.5651077 0.504552874
## 767 -0.6381993 0.504552874
## 768 -0.6381993 -0.990206492
## 769 -0.6381993 -0.159784622
## 770 -0.6381993 1.334974744
## 771 -0.6381993 0.006299752
## 772 -0.6381993 2.829734110
## 773 -0.6381993 1.999312240
## 774 1.5651077 -0.990206492
## 775 1.5651077 2.165396614
## 776 -0.6381993 -0.824122118
## 777 -0.6381993 -0.325868996
## 778 -0.6381993 -0.990206492
## 779 -0.6381993 0.006299752
## 780 1.5651077 -0.824122118
## 781 1.5651077 -0.491953370
## 782 -0.6381993 2.165396614
## 783 1.5651077 -0.491953370
## 784 -0.6381993 0.504552874
## 785 -0.6381993 -0.990206492
## 786 -0.6381993 -0.658037744
## 787 -0.6381993 -0.824122118
## 788 -0.6381993 0.172384126
## 789 -0.6381993 -0.990206492
## 790 -0.6381993 -0.824122118
## 791 -0.6381993 -0.658037744
## 792 -0.6381993 -0.658037744
## 793 1.5651077 -0.325868996
## 794 -0.6381993 1.667143492
## 795 1.5651077 0.006299752
## 796 1.5651077 0.504552874
## 797 1.5651077 2.165396614
## 798 1.5651077 -0.990206492
## 799 1.5651077 -0.990206492
## 800 -0.6381993 -0.325868996
## 801 -0.6381993 -0.325868996
## 802 1.5651077 -0.159784622
## 803 1.5651077 2.331480988
## 804 1.5651077 0.172384126
## 805 -0.6381993 -0.658037744
## 806 1.5651077 0.836721622
## 807 -0.6381993 -0.658037744
## 808 -0.6381993 -0.824122118
## 809 -0.6381993 0.504552874
## 810 1.5651077 -0.325868996
## 811 -0.6381993 0.836721622
## 812 -0.6381993 -0.658037744
## 813 1.5651077 -0.325868996
## 814 -0.6381993 -0.325868996
## 815 -0.6381993 -0.824122118
## 816 -0.6381993 1.168890370
## 817 1.5651077 -1.156290866
## 818 -0.6381993 1.002805996
## 819 -0.6381993 -0.325868996
## 820 1.5651077 -0.824122118
## 821 -0.6381993 -0.658037744
## 822 -0.6381993 -0.658037744
## 823 -0.6381993 0.172384126
## 824 -0.6381993 -0.824122118
## 825 1.5651077 -0.658037744
## 826 -0.6381993 -0.824122118
## 827 -0.6381993 -0.990206492
## 828 1.5651077 -0.658037744
## 829 -0.6381993 -0.159784622
## 830 -0.6381993 4.158409102
## 831 1.5651077 0.338468500
## 832 1.5651077 -1.156290866
## 833 -0.6381993 -0.159784622
## 834 -0.6381993 -0.990206492
## 835 1.5651077 4.324493476
## 836 -0.6381993 0.338468500
## 837 1.5651077 -0.159784622
## 838 -0.6381993 0.504552874
## 839 1.5651077 2.497565362
## 840 -0.6381993 2.497565362
## 841 -0.6381993 -1.156290866
## 842 -0.6381993 0.504552874
## 843 -0.6381993 0.338468500
## 844 -0.6381993 0.338468500
## 845 -0.6381993 -0.824122118
## 846 -0.6381993 0.504552874
## 847 -0.6381993 -0.990206492
## 848 -0.6381993 1.833227866
## 849 1.5651077 -0.159784622
## 850 -0.6381993 0.006299752
## 851 1.5651077 -0.824122118
## 852 -0.6381993 0.504552874
## 853 1.5651077 0.338468500
## 854 -0.6381993 0.172384126
## 855 1.5651077 -0.658037744
## 856 -0.6381993 -0.990206492
## 857 1.5651077 -0.325868996
## 858 -0.6381993 0.504552874
## 859 -0.6381993 -0.325868996
## 860 -0.6381993 0.504552874
## 861 -0.6381993 0.006299752
## 862 -0.6381993 2.331480988
## 863 1.5651077 -0.325868996
## 864 1.5651077 2.497565362
## 865 1.5651077 -0.658037744
## 866 -0.6381993 0.504552874
## 867 -0.6381993 -0.658037744
## 868 1.5651077 -0.325868996
## 869 1.5651077 -0.658037744
## 870 -0.6381993 -0.159784622head(employeeClean)## ID Age Attrition BusinessTravel DailyRate Department
## 1 1 32 No Travel_Rarely 117 Sales
## 2 2 40 No Travel_Rarely 1308 Research & Development
## 3 3 35 No Travel_Frequently 200 Research & Development
## 4 4 32 No Travel_Rarely 801 Sales
## 5 5 24 No Travel_Frequently 567 Research & Development
## 6 6 27 No Travel_Frequently 294 Research & Development
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## 1 13 4 Life Sciences 1 859
## 2 14 3 Medical 1 1128
## 3 18 2 Life Sciences 1 1412
## 4 1 4 Marketing 1 2016
## 5 2 1 Technical Degree 1 1646
## 6 10 2 Life Sciences 1 733
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## 1 2 Male 73 3 2
## 2 3 Male 44 2 5
## 3 3 Male 60 3 3
## 4 3 Female 48 3 3
## 5 1 Female 32 3 1
## 6 4 Male 32 3 3
## JobRole JobSatisfaction MaritalStatus MonthlyIncome
## 1 Sales Executive 4 Divorced 4403
## 2 Research Director 3 Single 19626
## 3 Manufacturing Director 4 Single 9362
## 4 Sales Executive 4 Married 10422
## 5 Research Scientist 4 Single 3760
## 6 Manufacturing Director 1 Divorced 8793
## MonthlyRate NumCompaniesWorked Over18 OverTime PercentSalaryHike
## 1 9250 2 Y No 11
## 2 17544 1 Y No 14
## 3 19944 2 Y No 11
## 4 24032 1 Y No 19
## 5 17218 1 Y Yes 13
## 6 4809 1 Y No 21
## PerformanceRating RelationshipSatisfaction StandardHours StockOptionLevel
## 1 3 3 80 1
## 2 3 1 80 0
## 3 3 3 80 0
## 4 3 3 80 2
## 5 3 3 80 0
## 6 4 3 80 2
## TotalWorkingYears TrainingTimesLastYear WorkLifeBalance YearsAtCompany
## 1 8 3 2 5
## 2 21 2 4 20
## 3 10 2 3 2
## 4 14 3 3 14
## 5 6 2 3 6
## 6 9 4 2 9
## YearsInCurrentRole YearsSinceLastPromotion YearsWithCurrManager
## 1 2 0 3
## 2 7 4 9
## 3 2 2 2
## 4 10 5 7
## 5 3 1 3
## 6 7 1 7
## OverTimeBinary MonthlyIncomeScale AgeScale EnvironmentSatisfactionScale
## 1 0 -0.4322305 -0.5409772 -0.6377699
## 2 0 2.8787757 0.3552859 0.2718364
## 3 0 0.6463532 -0.2048785 0.2718364
## 4 0 0.8769035 -0.5409772 0.2718364
## 5 1 -0.5720831 -1.4372403 -1.5473762
## 6 0 0.5225956 -1.1011416 1.1814426
## OverTimeScale YearsAtCompanyScale
## 1 -0.6381993 -0.3258690
## 2 -0.6381993 2.1653966
## 3 -0.6381993 -0.8241221
## 4 -0.6381993 1.1688904
## 5 1.5651077 -0.1597846
## 6 -0.6381993 0.3384685#Plotted correlation between Attrition and other columns
#Attrition Count
ggplotly(employeeClean %>% ggplot(aes(x = Attrition, fill = Attrition)) + geom_bar() + labs(title = "Attrition Count", x = "Attrition"))#Attrition Vs. Age
ggplotly(employeeClean %>% ggplot(aes(x = Age, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Age"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.#Attrition vs. Business Travel
ggplotly(employeeClean %>% ggplot(aes(x = BusinessTravel, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Business Travel"))#Categorizing Daily Rates into groups
min(employeeClean$DailyRate)## [1] 103max(employeeClean$DailyRate)## [1] 1499employeeClean$DailyRateGroups <- as.factor(ifelse(employeeClean$DailyRate<501, "0-500", ifelse(employeeClean$DailyRate<1001, "501-1000", ifelse(employeeClean$DailyRate<1501, "1001-1500"))))
#Attrition vs. Daily Rate
ggplotly(employeeClean %>% ggplot(aes(x = DailyRateGroups, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Daily Rate"))#Attrition vs. Department
ggplotly(employeeClean %>% ggplot(aes(x = Department, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Department"))#Categorizing Distance from Home into groups
min(employeeClean$DistanceFromHome)## [1] 1max(employeeClean$DistanceFromHome)## [1] 29employeeClean$DistanceFromHomeGroups <- as.factor(ifelse(employeeClean$DistanceFromHome<11, "0-10", ifelse(employeeClean$DistanceFromHome<21, "11-20", ifelse(employeeClean$DistanceFromHome<31, "21-30"))))
#Attrition vs. Distance From Home
ggplotly(employeeClean %>% ggplot(aes(x = DistanceFromHomeGroups, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Distance From Home"))#Converting Education into Factors
employeeClean$EducationFactor <- as.factor(employeeClean$Education)
#Attrition vs. Education
ggplotly(employeeClean %>% ggplot(aes(x = EducationFactor, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Education"))#Converting Education Field into Factors
employeeClean$EducationFieldFactor <- as.factor(employeeClean$EducationField)
#Attrition vs. Education Field
ggplotly(employeeClean %>% ggplot(aes(x = EducationFieldFactor, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Education Field"))#Converting Environment Satisfaction into Factors
employeeClean$EnvironmentSatisfactionFactor <- as.factor(employeeClean$EnvironmentSatisfaction)
#Attrition vs. Environment Satisfaction
ggplotly(employeeClean %>% ggplot(aes(x = EnvironmentSatisfactionFactor, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Environment Satisfaction"))#Attrition vs. Gender
ggplotly(employeeClean %>% ggplot(aes(x = Gender, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Gender"))#Categorizing Hourly Rates into groups
min(employeeClean$HourlyRate)## [1] 30max(employeeClean$HourlyRate)## [1] 100employeeClean$HourlyRateGroups <- as.factor(ifelse(employeeClean$HourlyRate<56, "0-55", ifelse(employeeClean$HourlyRate<81, "56-80", ifelse(employeeClean$HourlyRate<106, "81-105"))))
#Attrition vs. Hourly Rates
ggplotly(employeeClean %>% ggplot(aes(x = HourlyRateGroups, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Hourly Rates"))#Attrition vs. Job Involvement
ggplotly(employeeClean %>% ggplot(aes(x = JobInvolvement, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Job Involvement"))#Attrition vs. Job Level
ggplotly(employeeClean %>% ggplot(aes(x = JobLevel, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Job Level"))#Attrition vs. Job Role
ggplotly(employeeClean %>% ggplot(aes(x = JobRole, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Job Role"))#Attrition Vs. Job Satisfaction
ggplotly(employeeClean %>% ggplot(aes(x = JobSatisfaction, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Job Satisfaction"))#Attrition Vs. Marital Status
ggplotly(employeeClean %>% ggplot(aes(x = MaritalStatus, fill = Attrition))+ geom_bar() + ggtitle("Attrition Vs. Marital Status"))#Attrition Vs. Monthly Income
ggplotly(employeeClean %>% ggplot(aes(x = MonthlyIncome, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Monthly Income"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.#Attrition Vs. Monthly Rate
ggplotly(employeeClean %>% ggplot(aes(x = MonthlyRate, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Monthly Rate"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.#Attrition Vs. Number of Companies Worked
ggplotly(employeeClean %>% ggplot(aes(x = NumCompaniesWorked, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Number of Companies Worked"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.#Attrition Vs. Overtime
ggplotly(employeeClean %>% ggplot(aes(x = OverTime, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Overtime"))#Attrition Vs. Percent of Salary Hike
ggplotly(employeeClean %>% ggplot(aes(x = PercentSalaryHike, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Percent of Salary Hike"))#Converting Performance Rating into Factors
employeeClean$PerformanceRatingFactor <- as.factor(employeeClean$PerformanceRating)
#Attrition Vs. Performance Rating
ggplotly(employeeClean %>% ggplot(aes(x = PerformanceRatingFactor, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Performance Rating"))#Attrition Vs. Relationship Satisfaction
ggplotly(employeeClean %>% ggplot(aes(x = RelationshipSatisfaction, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Relationship Satisfaction"))#Attrition Vs. Stock Option Level
ggplotly(employeeClean %>% ggplot(aes(x = StockOptionLevel, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Stock Option Level"))#Attrition Vs. Total Working Years
ggplotly(employeeClean %>% ggplot(aes(x = TotalWorkingYears, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Total Working Years"))#Attrition Vs. Training Times Last Year
ggplotly(employeeClean %>% ggplot(aes(x = TrainingTimesLastYear, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Training Times Last Year"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.#Attrition Vs. Work Life Balance
ggplotly(employeeClean %>% ggplot(aes(x = WorkLifeBalance, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Work Life Balance"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.#Attrition Vs. Years at the Company
ggplotly(employeeClean %>% ggplot(aes(x = YearsAtCompany, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Years At the Company"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.#Attrition Vs. Years in Current Role
ggplotly(employeeClean %>% ggplot(aes(x = YearsInCurrentRole, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Years in Current Role"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.#Attrition Vs. Years Since Last Promotion
ggplotly(employeeClean %>% ggplot(aes(x = YearsSinceLastPromotion, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Years Since Last Promotion"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.#Attrition Vs. Years with Current Manager
ggplotly(employeeClean %>% ggplot(aes(x = YearsWithCurrManager, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Years with Current Manager"))## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.#Job Satisfaction Vs. Job Involvement
ggplotly(employeeClean %>% ggplot(aes(x = JobSatisfaction, y = JobInvolvement, color = Attrition)) + geom_point(position = "jitter") + ggtitle("Job Satisfaction Vs. Job Involvement"))#Job Role Vs. Job Satisfaction
ggplotly(employeeClean %>% ggplot(aes(x = JobRole, y = JobSatisfaction, color = Attrition)) + geom_point(position = "jitter") + ggtitle("Job Role Vs. Job Satisfaction"))#Job Role Vs. Work Life Balance
ggplotly(employeeClean %>% ggplot(aes(x = JobRole, y = WorkLifeBalance, color = Attrition)) + geom_point(position = "jitter") + ggtitle("Job Role Vs. Work Life Balance"))#Ran test to find K
# Loop for many k and the average of many training / test partition
set.seed(4)
iterations = 500
numks = 30
masterAcc = matrix(nrow = iterations, ncol = numks)
for(j in 1:iterations)
{
accs = data.frame(accuracy = numeric(30), k = numeric(30))
trainIndices = sample(1:dim(employeeClean)[1], round(0.70* dim(employeeClean)[1]))
train = employeeClean[trainIndices,]
test = employeeClean[-trainIndices,]
for(i in 1:numks)
{
classifications = knn(train[,c(37,38,40)], test[,c(37,38,40)], train$Attrition, prob = TRUE, k = i)
table(classifications, test$Attrition)
cm = confusionMatrix(table(classifications, test$Attrition))
masterAcc[j,i] = cm$overall[1]
}
}
MeanAcc = colMeans(masterAcc)
plot(seq(1,numks,1),MeanAcc, type = "l")
#KNN Model
#KNN
classifications = knn(train[,c(37,38,40)], test[,c(37,38,40)], train$Attrition, prob = TRUE, k = 15)
classifications## [1] No No No No No No No No Yes No No No No No Yes No No No
## [19] No No Yes No No No No No No No No No No No No No No No
## [37] No No No No No No No No No No No No No No No No No No
## [55] No No No No No No No No No No No No No No No No No No
## [73] No Yes No No No No No No No No No No No No No No No No
## [91] No No No No No No No No No No No No No No No No No No
## [109] No No No No No No No No No Yes No No No No No No No No
## [127] No No No No No Yes No No No Yes No No No No No Yes Yes No
## [145] No No No No No No No No No No No No No No Yes No No No
## [163] No No No No No No No No No No No No No No No No No No
## [181] No Yes Yes No No No No No Yes No No No No No No No No No
## [199] No No No No No No No No No No No No No No No No No No
## [217] No No No Yes No No No No Yes No No No No No No No No No
## [235] No No No No No No No No No No No No No No No No No No
## [253] No No No No No No No No No
## attr(,"prob")
## [1] 1.0000000 1.0000000 0.9333333 0.6666667 0.8000000 1.0000000 0.8666667
## [8] 0.8000000 0.5333333 0.9333333 0.8000000 0.9333333 0.6666667 0.9333333
## [15] 0.7333333 1.0000000 0.9333333 0.6666667 0.6000000 0.8666667 0.5333333
## [22] 0.8666667 0.8666667 1.0000000 0.9333333 0.9333333 0.6666667 1.0000000
## [29] 0.8666667 0.6000000 0.8000000 0.8666667 0.8666667 0.7333333 0.8666667
## [36] 0.9333333 1.0000000 0.8000000 0.8666667 0.9333333 1.0000000 0.6666667
## [43] 0.9333333 1.0000000 0.9333333 0.8666667 0.8666667 0.9333333 0.9333333
## [50] 0.9333333 0.7333333 0.9333333 1.0000000 0.8666667 1.0000000 0.8666667
## [57] 0.8000000 1.0000000 0.8666667 0.9333333 0.6000000 0.8666667 0.7333333
## [64] 0.8000000 0.9333333 0.8000000 1.0000000 0.9333333 0.9333333 1.0000000
## [71] 0.8666667 1.0000000 0.9333333 0.5333333 0.8000000 0.8000000 0.8666667
## [78] 0.9333333 1.0000000 0.8000000 0.9333333 0.6000000 0.6000000 0.9333333
## [85] 1.0000000 1.0000000 0.8666667 0.8000000 0.6666667 0.8666667 1.0000000
## [92] 0.8666667 0.8000000 0.8666667 0.9333333 1.0000000 0.9333333 0.7333333
## [99] 0.7333333 0.6666667 0.6000000 0.9333333 0.8666667 0.9333333 1.0000000
## [106] 0.9333333 0.6000000 1.0000000 0.7333333 0.7333333 0.6666667 0.9333333
## [113] 0.8000000 0.7333333 0.9333333 1.0000000 0.9333333 0.7333333 0.9333333
## [120] 0.8000000 0.9333333 0.7333333 0.6000000 0.9333333 1.0000000 0.8000000
## [127] 0.8000000 1.0000000 0.8666667 0.8000000 0.9333333 0.5333333 0.6000000
## [134] 1.0000000 0.8000000 0.5333333 0.8000000 0.9333333 0.6000000 0.8666667
## [141] 0.6000000 0.5333333 0.5333333 1.0000000 1.0000000 0.8666667 1.0000000
## [148] 0.6666667 0.9333333 0.9333333 0.8666667 0.9333333 0.8000000 0.9333333
## [155] 0.6000000 0.6000000 0.9333333 0.9333333 0.7333333 0.8666667 1.0000000
## [162] 0.8666667 0.8666667 0.9333333 0.7333333 0.6000000 0.9333333 0.9333333
## [169] 0.6666667 0.8000000 0.8000000 1.0000000 0.6666667 0.7333333 0.8000000
## [176] 0.6000000 1.0000000 0.9333333 0.8000000 0.9333333 0.6000000 0.5333333
## [183] 0.5333333 0.9333333 0.8000000 0.8000000 1.0000000 0.9333333 0.5333333
## [190] 0.9333333 0.5333333 0.8666667 1.0000000 0.9333333 0.8666667 0.9333333
## [197] 0.9333333 1.0000000 0.8666667 0.9333333 0.9333333 0.8000000 1.0000000
## [204] 0.9333333 1.0000000 0.6000000 0.8000000 0.7333333 0.8000000 0.8666667
## [211] 0.8000000 1.0000000 0.8666667 0.5333333 0.8000000 0.8666667 0.9333333
## [218] 0.9333333 0.8000000 0.5333333 0.5333333 1.0000000 0.8000000 0.7333333
## [225] 0.5333333 1.0000000 0.8000000 0.8666667 1.0000000 0.9333333 0.8000000
## [232] 0.7333333 0.8666667 0.9333333 1.0000000 0.9333333 0.8666667 0.5333333
## [239] 0.9333333 0.9333333 0.6000000 0.8666667 0.9333333 0.8000000 1.0000000
## [246] 0.9333333 0.9333333 0.9333333 0.9333333 0.8000000 0.8666667 0.8666667
## [253] 1.0000000 0.8000000 0.9333333 0.8000000 0.8000000 0.9333333 0.8666667
## [260] 0.9333333 0.8666667
## Levels: No Yestable(classifications, test$Attrition)##
## classifications No Yes
## No 224 22
## Yes 4 11cm = confusionMatrix(table(classifications, test$Attrition))
cm## Confusion Matrix and Statistics
##
##
## classifications No Yes
## No 224 22
## Yes 4 11
##
## Accuracy : 0.9004
## 95% CI : (0.8575, 0.9339)
## No Information Rate : 0.8736
## P-Value [Acc > NIR] : 0.1105729
##
## Kappa : 0.4119
##
## Mcnemar's Test P-Value : 0.0008561
##
## Sensitivity : 0.9825
## Specificity : 0.3333
## Pos Pred Value : 0.9106
## Neg Pred Value : 0.7333
## Prevalence : 0.8736
## Detection Rate : 0.8582
## Detection Prevalence : 0.9425
## Balanced Accuracy : 0.6579
##
## 'Positive' Class : No
## # Accuracy : 0.8621, Sensitivity : 0.9381, Specificity : 0.3714 #Naive Bayes
#Selecting columns that contribute to Attrition
model = employeeClean %>% select(c("MonthlyIncome","JobRole","Age","OverTime","EnvironmentSatisfaction","DailyRate","JobLevel","TotalWorkingYears","JobInvolvement","Attrition"))
trainIndices = sample(1:dim(model)[1],round(.70 * dim(model)[1]))
train = model[trainIndices,]
test = model[-trainIndices,]
set.seed(7)
classifier1 = naiveBayes(model[,c(1,4,7)],model$Attrition)
pred = predict(classifier1,newdata=test)
CM = confusionMatrix(table(test$Attrition,pred))
CM## Confusion Matrix and Statistics
##
## pred
## No Yes
## No 209 17
## Yes 23 12
##
## Accuracy : 0.8467
## 95% CI : (0.7972, 0.8882)
## No Information Rate : 0.8889
## P-Value [Acc > NIR] : 0.9852
##
## Kappa : 0.2885
##
## Mcnemar's Test P-Value : 0.4292
##
## Sensitivity : 0.9009
## Specificity : 0.4138
## Pos Pred Value : 0.9248
## Neg Pred Value : 0.3429
## Prevalence : 0.8889
## Detection Rate : 0.8008
## Detection Prevalence : 0.8659
## Balanced Accuracy : 0.6573
##
## 'Positive' Class : No
## #Found useful correlations
cor(employeeClean$MonthlyIncome ,employeeClean[,c(2,5,7,8,12,14,15,16,18,20,21,25,26,27,29,30, 31,32,33,34,35,36,37)])## Age DailyRate DistanceFromHome Education EnvironmentSatisfaction
## [1,] 0.4842883 8.790339e-05 -0.006667155 0.1271314 -0.01687744
## HourlyRate JobInvolvement JobLevel JobSatisfaction MonthlyIncome
## [1,] 0.002391151 0.0004473792 0.95164 -0.05314853 1
## MonthlyRate PercentSalaryHike PerformanceRating RelationshipSatisfaction
## [1,] 0.06459407 -0.05386594 -0.043131 -0.003884678
## StockOptionLevel TotalWorkingYears TrainingTimesLastYear WorkLifeBalance
## [1,] 0.01888872 0.7785112 -0.03901457 0.02080489
## YearsAtCompany YearsInCurrentRole YearsSinceLastPromotion
## [1,] 0.491379 0.3618405 0.3159116
## YearsWithCurrManager OverTimeBinary
## [1,] 0.3284875 -0.02526885#Linear Regression
#Changing Attrition to numeric
employeeClean$AttritionInt = if_else(employeeClean$Attrition =="Yes", 1,0)
employeeClean$OverTimeFix = ifelse(employeeClean$OverTime=="Yes",1,0)
fit = lm(AttritionInt~MonthlyIncome + OverTimeFix + JobLevel, employeeClean)
summary(fit)##
## Call:
## lm(formula = AttritionInt ~ MonthlyIncome + OverTimeFix + JobLevel,
## data = employeeClean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.36991 -0.15245 -0.10038 -0.04723 1.05753
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.044e-01 3.042e-02 6.720 3.29e-11 ***
## MonthlyIncome -2.392e-07 8.400e-06 -0.028 0.977
## OverTimeFix 2.172e-01 2.615e-02 8.305 3.81e-16 ***
## JobLevel -5.144e-02 3.543e-02 -1.452 0.147
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3498 on 866 degrees of freedom
## Multiple R-squared: 0.09813, Adjusted R-squared: 0.09501
## F-statistic: 31.41 on 3 and 866 DF, p-value: < 2.2e-16confint(fit)## 2.5 % 97.5 %
## (Intercept) 1.447253e-01 2.641407e-01
## MonthlyIncome -1.672631e-05 1.624796e-05
## OverTimeFix 1.658677e-01 2.685206e-01
## JobLevel -1.209797e-01 1.809362e-02plot(fit)
AIC(fit)## [1] 647.095#Imported No Salary Data
employeeSalary = read.csv(file.choose(), header = TRUE)#Cleaned No Salary Data
employeeSalaryClean = na.omit(employeeSalary)
head(employeeSalaryClean)## ï..ID Age Attrition BusinessTravel DailyRate Department
## 1 871 43 No Travel_Frequently 1422 Sales
## 2 872 33 No Travel_Rarely 461 Research & Development
## 3 873 55 Yes Travel_Rarely 267 Sales
## 4 874 36 No Non-Travel 1351 Research & Development
## 5 875 27 No Travel_Rarely 1302 Research & Development
## 6 876 39 Yes Travel_Rarely 895 Sales
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## 1 2 4 Life Sciences 1 1849
## 2 13 1 Life Sciences 1 995
## 3 13 4 Marketing 1 1372
## 4 9 4 Life Sciences 1 1949
## 5 19 3 Other 1 1619
## 6 5 3 Technical Degree 1 42
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## 1 1 Male 92 3 2
## 2 2 Female 53 3 1
## 3 1 Male 85 4 4
## 4 1 Male 66 4 1
## 5 4 Male 67 2 1
## 6 4 Male 56 3 2
## JobRole JobSatisfaction MaritalStatus MonthlyRate
## 1 Sales Executive 4 Married 19246
## 2 Research Scientist 4 Single 17241
## 3 Sales Executive 3 Single 9277
## 4 Laboratory Technician 2 Married 9238
## 5 Laboratory Technician 1 Divorced 16290
## 6 Sales Representative 4 Married 3335
## NumCompaniesWorked Over18 OverTime PercentSalaryHike PerformanceRating
## 1 1 Y No 20 4
## 2 3 Y No 18 3
## 3 6 Y Yes 17 3
## 4 1 Y No 22 4
## 5 1 Y No 11 3
## 6 3 Y No 14 3
## RelationshipSatisfaction StandardHours StockOptionLevel TotalWorkingYears
## 1 3 80 1 7
## 2 1 80 0 5
## 3 3 80 0 24
## 4 2 80 0 5
## 5 1 80 2 7
## 6 3 80 1 19
## TrainingTimesLastYear WorkLifeBalance YearsAtCompany YearsInCurrentRole
## 1 5 3 7 7
## 2 4 3 3 2
## 3 2 2 19 7
## 4 3 3 5 4
## 5 3 3 7 7
## 6 6 4 1 0
## YearsSinceLastPromotion YearsWithCurrManager
## 1 7 7
## 2 0 2
## 3 3 8
## 4 0 2
## 5 0 7
## 6 0 0employeeSalaryClean## ï..ID Age Attrition BusinessTravel DailyRate Department
## 1 871 43 No Travel_Frequently 1422 Sales
## 2 872 33 No Travel_Rarely 461 Research & Development
## 3 873 55 Yes Travel_Rarely 267 Sales
## 4 874 36 No Non-Travel 1351 Research & Development
## 5 875 27 No Travel_Rarely 1302 Research & Development
## 6 876 39 Yes Travel_Rarely 895 Sales
## 7 877 33 No Non-Travel 750 Sales
## 8 878 21 Yes Travel_Frequently 251 Research & Development
## 9 879 30 No Travel_Frequently 1312 Research & Development
## 10 880 51 No Travel_Rarely 1405 Research & Development
## 11 881 46 Yes Travel_Rarely 377 Sales
## 12 882 40 No Travel_Rarely 329 Research & Development
## 13 883 29 No Travel_Rarely 1176 Sales
## 14 884 27 No Travel_Frequently 829 Sales
## 15 885 29 No Travel_Rarely 1210 Sales
## 16 886 22 Yes Travel_Rarely 617 Research & Development
## 17 887 29 No Travel_Rarely 726 Research & Development
## 18 888 34 No Travel_Rarely 167 Research & Development
## 19 889 31 No Travel_Rarely 655 Research & Development
## 20 890 35 No Travel_Rarely 528 Human Resources
## 21 891 40 No Travel_Rarely 523 Research & Development
## 22 892 30 No Travel_Rarely 1288 Sales
## 23 893 46 Yes Travel_Rarely 669 Sales
## 24 894 27 No Travel_Frequently 1410 Sales
## 25 895 49 No Travel_Rarely 1490 Research & Development
## 26 896 46 No Travel_Rarely 706 Research & Development
## 27 897 33 Yes Travel_Rarely 211 Sales
## 28 898 42 No Non-Travel 495 Research & Development
## 29 899 34 No Travel_Rarely 507 Sales
## 30 900 36 No Travel_Rarely 329 Research & Development
## 31 901 27 No Travel_Rarely 591 Research & Development
## 32 902 44 No Travel_Frequently 383 Sales
## 33 903 48 No Travel_Rarely 492 Sales
## 34 904 40 No Travel_Rarely 543 Research & Development
## 35 905 45 No Travel_Rarely 1234 Sales
## 36 906 33 No Travel_Frequently 970 Sales
## 37 907 46 No Travel_Frequently 638 Research & Development
## 38 908 37 No Travel_Rarely 1192 Research & Development
## 39 909 28 Yes Travel_Rarely 1434 Research & Development
## 40 910 32 No Travel_Rarely 827 Research & Development
## 41 911 43 No Travel_Rarely 920 Research & Development
## 42 912 38 No Travel_Frequently 1444 Human Resources
## 43 913 40 No Travel_Rarely 616 Research & Development
## 44 914 34 No Travel_Rarely 1354 Research & Development
## 45 915 41 No Travel_Rarely 549 Research & Development
## 46 916 23 No Travel_Rarely 507 Research & Development
## 47 917 28 No Travel_Rarely 1217 Research & Development
## 48 918 26 No Travel_Rarely 572 Sales
## 49 919 28 No Travel_Rarely 1144 Sales
## 50 920 59 No Travel_Rarely 1324 Research & Development
## 51 921 30 No Travel_Rarely 413 Sales
## 52 922 35 No Travel_Rarely 1229 Research & Development
## 53 923 36 Yes Travel_Rarely 660 Research & Development
## 54 924 42 No Non-Travel 179 Human Resources
## 55 925 54 No Travel_Rarely 584 Research & Development
## 56 926 40 No Travel_Rarely 1171 Research & Development
## 57 927 32 No Travel_Rarely 604 Sales
## 58 928 38 No Travel_Rarely 201 Research & Development
## 59 929 22 No Non-Travel 1123 Research & Development
## 60 930 32 No Travel_Frequently 1005 Research & Development
## 61 931 34 No Non-Travel 1375 Sales
## 62 932 32 No Travel_Rarely 1018 Research & Development
## 63 933 41 No Travel_Rarely 645 Sales
## 64 934 58 Yes Travel_Frequently 781 Research & Development
## 65 935 20 Yes Travel_Rarely 129 Research & Development
## 66 936 24 Yes Travel_Frequently 381 Research & Development
## 67 937 46 No Travel_Rarely 644 Research & Development
## 68 938 51 Yes Travel_Frequently 1150 Research & Development
## 69 939 39 No Travel_Rarely 116 Research & Development
## 70 940 28 No Travel_Rarely 1172 Sales
## 71 941 40 Yes Travel_Rarely 676 Research & Development
## 72 942 39 No Travel_Rarely 1462 Sales
## 73 943 59 No Travel_Rarely 1435 Sales
## 74 944 27 No Travel_Rarely 1055 Research & Development
## 75 945 18 No Travel_Rarely 812 Sales
## 76 946 29 No Travel_Frequently 995 Research & Development
## 77 947 21 Yes Travel_Rarely 337 Sales
## 78 948 26 No Travel_Rarely 1349 Research & Development
## 79 949 26 Yes Travel_Frequently 426 Human Resources
## 80 950 47 Yes Travel_Frequently 719 Sales
## 81 951 42 No Non-Travel 355 Research & Development
## 82 952 40 No Travel_Rarely 300 Sales
## 83 953 37 No Travel_Rarely 124 Research & Development
## 84 954 27 No Travel_Frequently 1297 Research & Development
## 85 955 39 No Non-Travel 439 Research & Development
## 86 956 45 No Travel_Rarely 176 Human Resources
## 87 957 56 No Travel_Rarely 1400 Research & Development
## 88 958 32 No Non-Travel 1109 Research & Development
## 89 959 41 No Travel_Rarely 1206 Sales
## 90 960 58 Yes Travel_Rarely 286 Research & Development
## 91 961 29 No Travel_Rarely 665 Research & Development
## 92 962 40 No Travel_Rarely 1300 Research & Development
## 93 963 38 No Travel_Frequently 471 Research & Development
## 94 964 39 No Travel_Rarely 141 Human Resources
## 95 965 25 No Travel_Rarely 1280 Research & Development
## 96 966 50 No Travel_Rarely 989 Research & Development
## 97 967 29 No Travel_Rarely 468 Research & Development
## 98 968 36 No Travel_Rarely 164 Sales
## 99 969 50 No Travel_Frequently 1421 Research & Development
## 100 970 26 Yes Travel_Rarely 1449 Research & Development
## 101 971 27 No Travel_Rarely 954 Sales
## 102 972 31 No Travel_Rarely 616 Research & Development
## 103 973 28 No Travel_Frequently 791 Research & Development
## 104 974 20 No Travel_Rarely 959 Research & Development
## 105 975 24 No Travel_Rarely 1206 Research & Development
## 106 976 29 Yes Travel_Rarely 896 Research & Development
## 107 977 48 No Travel_Rarely 277 Research & Development
## 108 978 39 Yes Travel_Rarely 360 Research & Development
## 109 979 35 No Travel_Rarely 607 Research & Development
## 110 980 49 No Travel_Rarely 1098 Research & Development
## 111 981 35 No Travel_Rarely 1402 Sales
## 112 982 46 No Travel_Rarely 1125 Sales
## 113 983 52 No Travel_Rarely 1323 Research & Development
## 114 984 26 No Travel_Rarely 1167 Sales
## 115 985 36 No Travel_Rarely 1120 Sales
## 116 986 32 Yes Travel_Frequently 238 Research & Development
## 117 987 22 Yes Travel_Frequently 1256 Research & Development
## 118 988 32 No Travel_Rarely 601 Sales
## 119 989 39 No Travel_Frequently 945 Research & Development
## 120 990 31 No Travel_Rarely 408 Research & Development
## 121 991 39 No Travel_Rarely 1383 Human Resources
## 122 992 24 No Travel_Rarely 581 Research & Development
## 123 993 30 No Travel_Rarely 1240 Human Resources
## 124 994 40 No Travel_Frequently 1184 Sales
## 125 995 38 No Non-Travel 152 Sales
## 126 996 34 No Travel_Rarely 665 Research & Development
## 127 997 38 No Travel_Frequently 1391 Research & Development
## 128 998 54 No Travel_Rarely 971 Research & Development
## 129 999 35 No Travel_Rarely 882 Sales
## 130 1000 32 Yes Travel_Rarely 374 Research & Development
## 131 1001 46 No Travel_Rarely 945 Human Resources
## 132 1002 47 No Travel_Frequently 1309 Sales
## 133 1003 32 No Travel_Rarely 977 Research & Development
## 134 1004 47 No Travel_Rarely 983 Research & Development
## 135 1005 48 No Travel_Rarely 1108 Research & Development
## 136 1006 34 No Travel_Rarely 735 Sales
## 137 1007 20 No Travel_Rarely 1141 Sales
## 138 1008 38 No Travel_Rarely 688 Research & Development
## 139 1009 53 No Travel_Rarely 1223 Research & Development
## 140 1010 53 No Travel_Rarely 1436 Sales
## 141 1011 37 Yes Travel_Frequently 504 Research & Development
## 142 1012 34 No Travel_Rarely 1031 Research & Development
## 143 1013 32 No Travel_Rarely 588 Sales
## 144 1014 34 Yes Travel_Frequently 234 Research & Development
## 145 1015 30 Yes Travel_Frequently 334 Sales
## 146 1016 43 No Travel_Rarely 990 Research & Development
## 147 1017 42 No Travel_Rarely 269 Research & Development
## 148 1018 35 No Travel_Rarely 662 Sales
## 149 1019 30 No Travel_Rarely 1339 Sales
## 150 1020 18 No Non-Travel 287 Research & Development
## 151 1021 45 No Travel_Rarely 561 Sales
## 152 1022 36 No Non-Travel 845 Sales
## 153 1023 39 No Travel_Rarely 835 Research & Development
## 154 1024 45 No Non-Travel 1238 Research & Development
## 155 1025 41 No Travel_Frequently 857 Research & Development
## 156 1026 39 No Non-Travel 105 Research & Development
## 157 1027 31 No Travel_Rarely 106 Human Resources
## 158 1028 25 No Travel_Rarely 891 Sales
## 159 1029 24 Yes Travel_Rarely 693 Sales
## 160 1030 44 Yes Travel_Rarely 1376 Human Resources
## 161 1031 32 No Travel_Rarely 499 Sales
## 162 1032 43 No Travel_Rarely 244 Human Resources
## 163 1033 27 No Travel_Rarely 269 Research & Development
## 164 1034 26 No Travel_Rarely 482 Research & Development
## 165 1035 40 No Non-Travel 663 Research & Development
## 166 1036 20 Yes Travel_Rarely 1362 Research & Development
## 167 1037 25 No Travel_Rarely 883 Sales
## 168 1038 54 No Travel_Rarely 397 Human Resources
## 169 1039 39 No Travel_Rarely 1253 Research & Development
## 170 1040 29 No Travel_Rarely 657 Research & Development
## 171 1041 31 Yes Travel_Frequently 307 Research & Development
## 172 1042 33 No Travel_Rarely 1198 Research & Development
## 173 1043 36 No Travel_Rarely 557 Sales
## 174 1044 36 No Travel_Rarely 928 Sales
## 175 1045 28 No Non-Travel 1103 Research & Development
## 176 1046 28 Yes Travel_Frequently 1009 Research & Development
## 177 1047 38 Yes Travel_Rarely 903 Research & Development
## 178 1048 33 No Travel_Frequently 553 Research & Development
## 179 1049 27 Yes Travel_Rarely 135 Research & Development
## 180 1050 35 Yes Travel_Rarely 763 Sales
## 181 1051 53 Yes Travel_Rarely 607 Research & Development
## 182 1052 36 No Travel_Frequently 635 Research & Development
## 183 1053 43 No Travel_Rarely 1473 Research & Development
## 184 1054 28 No Travel_Rarely 995 Research & Development
## 185 1055 27 No Travel_Frequently 591 Research & Development
## 186 1056 25 Yes Travel_Rarely 688 Research & Development
## 187 1057 27 No Travel_Frequently 472 Research & Development
## 188 1058 43 No Travel_Rarely 1034 Sales
## 189 1059 37 No Travel_Rarely 1239 Human Resources
## 190 1060 28 No Travel_Rarely 1451 Research & Development
## 191 1061 57 No Travel_Rarely 405 Research & Development
## 192 1062 34 No Travel_Frequently 426 Research & Development
## 193 1063 33 No Travel_Frequently 1296 Research & Development
## 194 1064 23 Yes Travel_Rarely 427 Sales
## 195 1065 58 No Non-Travel 390 Research & Development
## 196 1066 23 No Travel_Rarely 650 Research & Development
## 197 1067 40 No Travel_Rarely 1194 Research & Development
## 198 1068 60 No Travel_Rarely 422 Research & Development
## 199 1069 33 No Travel_Frequently 430 Sales
## 200 1070 50 No Travel_Rarely 316 Sales
## 201 1071 27 No Travel_Rarely 1291 Sales
## 202 1072 31 No Travel_Rarely 480 Research & Development
## 203 1073 20 No Travel_Rarely 654 Sales
## 204 1074 30 No Travel_Rarely 305 Research & Development
## 205 1075 56 No Travel_Rarely 1443 Sales
## 206 1076 46 No Travel_Rarely 1402 Sales
## 207 1077 53 No Travel_Rarely 1282 Research & Development
## 208 1078 31 No Travel_Rarely 311 Research & Development
## 209 1079 36 No Travel_Rarely 506 Research & Development
## 210 1080 42 No Travel_Frequently 532 Research & Development
## 211 1081 40 No Travel_Rarely 1322 Research & Development
## 212 1082 35 No Travel_Rarely 287 Research & Development
## 213 1083 23 Yes Travel_Frequently 638 Sales
## 214 1084 35 No Travel_Rarely 619 Sales
## 215 1085 38 No Travel_Frequently 216 Research & Development
## 216 1086 40 No Travel_Frequently 580 Sales
## 217 1087 31 No Travel_Rarely 1003 Sales
## 218 1088 38 No Travel_Rarely 268 Research & Development
## 219 1089 31 No Travel_Rarely 691 Research & Development
## 220 1090 27 No Travel_Rarely 205 Sales
## 221 1091 29 No Travel_Rarely 144 Sales
## 222 1092 36 No Non-Travel 301 Sales
## 223 1093 37 No Travel_Frequently 663 Research & Development
## 224 1094 40 No Travel_Rarely 107 Sales
## 225 1095 25 No Non-Travel 675 Research & Development
## 226 1096 37 No Travel_Rarely 446 Research & Development
## 227 1097 37 No Travel_Rarely 1017 Research & Development
## 228 1098 30 Yes Travel_Frequently 600 Human Resources
## 229 1099 32 No Travel_Rarely 1062 Research & Development
## 230 1100 37 Yes Travel_Rarely 370 Research & Development
## 231 1101 40 No Travel_Rarely 989 Research & Development
## 232 1102 40 No Travel_Rarely 759 Sales
## 233 1103 38 No Non-Travel 1327 Sales
## 234 1104 53 No Travel_Rarely 661 Sales
## 235 1105 36 No Travel_Rarely 188 Research & Development
## 236 1106 29 No Travel_Frequently 490 Research & Development
## 237 1107 27 No Travel_Rarely 1103 Research & Development
## 238 1108 44 No Travel_Rarely 1112 Human Resources
## 239 1109 27 No Travel_Frequently 1242 Sales
## 240 1110 35 No Travel_Rarely 682 Sales
## 241 1111 35 No Non-Travel 208 Research & Development
## 242 1112 59 No Travel_Rarely 1089 Sales
## 243 1113 33 Yes Travel_Rarely 1277 Research & Development
## 244 1114 50 Yes Travel_Frequently 562 Sales
## 245 1115 47 No Travel_Rarely 1180 Research & Development
## 246 1116 27 No Travel_Frequently 1131 Research & Development
## 247 1117 37 No Travel_Rarely 1305 Research & Development
## 248 1118 28 No Non-Travel 1476 Research & Development
## 249 1119 58 No Travel_Rarely 1272 Research & Development
## 250 1120 34 No Travel_Rarely 204 Sales
## 251 1121 50 Yes Travel_Rarely 410 Sales
## 252 1122 48 No Non-Travel 1262 Research & Development
## 253 1123 31 No Travel_Frequently 1125 Research & Development
## 254 1124 45 No Non-Travel 1195 Research & Development
## 255 1125 34 No Travel_Rarely 1320 Research & Development
## 256 1126 19 Yes Travel_Frequently 602 Sales
## 257 1127 24 Yes Travel_Frequently 1287 Research & Development
## 258 1128 52 No Travel_Rarely 1325 Research & Development
## 259 1129 41 No Travel_Rarely 334 Sales
## 260 1130 22 No Travel_Rarely 217 Research & Development
## 261 1131 31 No Travel_Frequently 1327 Research & Development
## 262 1132 39 No Travel_Rarely 412 Research & Development
## 263 1133 42 No Travel_Rarely 622 Research & Development
## 264 1134 38 No Travel_Frequently 148 Research & Development
## 265 1135 32 Yes Travel_Rarely 1033 Research & Development
## 266 1136 26 No Travel_Rarely 192 Research & Development
## 267 1137 37 No Travel_Rarely 921 Research & Development
## 268 1138 41 No Travel_Frequently 1018 Sales
## 269 1139 38 No Travel_Rarely 119 Sales
## 270 1140 43 No Travel_Rarely 1291 Research & Development
## 271 1141 31 No Travel_Rarely 1463 Research & Development
## 272 1142 42 No Travel_Rarely 691 Sales
## 273 1143 48 No Travel_Rarely 1355 Research & Development
## 274 1144 28 No Travel_Rarely 821 Sales
## 275 1145 44 No Travel_Frequently 602 Human Resources
## 276 1146 45 No Travel_Rarely 374 Sales
## 277 1147 34 No Travel_Rarely 628 Research & Development
## 278 1148 31 No Travel_Rarely 471 Research & Development
## 279 1149 29 No Travel_Rarely 1010 Research & Development
## 280 1150 30 No Travel_Rarely 288 Research & Development
## 281 1151 38 No Travel_Frequently 693 Research & Development
## 282 1152 27 No Travel_Frequently 793 Sales
## 283 1153 54 No Travel_Frequently 928 Research & Development
## 284 1154 28 Yes Travel_Rarely 1485 Research & Development
## 285 1155 49 No Travel_Rarely 470 Research & Development
## 286 1156 51 No Travel_Rarely 313 Research & Development
## 287 1157 29 Yes Travel_Rarely 341 Sales
## 288 1158 36 No Travel_Rarely 430 Research & Development
## 289 1159 27 No Travel_Rarely 199 Research & Development
## 290 1160 36 No Travel_Rarely 216 Research & Development
## 291 1161 44 Yes Travel_Rarely 1097 Research & Development
## 292 1162 38 No Travel_Rarely 168 Research & Development
## 293 1163 29 No Travel_Frequently 574 Research & Development
## 294 1164 37 No Travel_Rarely 799 Research & Development
## 295 1165 26 Yes Travel_Frequently 887 Research & Development
## 296 1166 32 No Travel_Frequently 116 Research & Development
## 297 1167 40 No Travel_Rarely 1492 Research & Development
## 298 1168 30 No Travel_Rarely 1082 Sales
## 299 1169 27 No Travel_Rarely 798 Research & Development
## 300 1170 37 No Travel_Rarely 290 Research & Development
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## 1 2 4 Life Sciences 1 1849
## 2 13 1 Life Sciences 1 995
## 3 13 4 Marketing 1 1372
## 4 9 4 Life Sciences 1 1949
## 5 19 3 Other 1 1619
## 6 5 3 Technical Degree 1 42
## 7 22 2 Marketing 1 160
## 8 10 2 Life Sciences 1 1279
## 9 23 3 Life Sciences 1 159
## 10 11 2 Technical Degree 1 1367
## 11 9 3 Marketing 1 1457
## 12 1 4 Life Sciences 1 1361
## 13 3 2 Medical 1 690
## 14 8 1 Marketing 1 800
## 15 2 3 Medical 1 366
## 16 3 1 Life Sciences 1 926
## 17 29 1 Life Sciences 1 1859
## 18 8 5 Life Sciences 1 775
## 19 7 4 Life Sciences 1 76
## 20 8 4 Technical Degree 1 1164
## 21 2 3 Life Sciences 1 1346
## 22 29 4 Technical Degree 1 1568
## 23 9 2 Medical 1 118
## 24 3 1 Medical 1 714
## 25 7 4 Life Sciences 1 1484
## 26 2 2 Life Sciences 1 1857
## 27 16 3 Life Sciences 1 1758
## 28 2 1 Life Sciences 1 1334
## 29 15 2 Medical 1 1356
## 30 2 3 Life Sciences 1 501
## 31 2 1 Medical 1 7
## 32 1 5 Marketing 1 1481
## 33 16 4 Life Sciences 1 1557
## 34 1 4 Life Sciences 1 2012
## 35 11 2 Life Sciences 1 1045
## 36 7 3 Life Sciences 1 1114
## 37 1 3 Medical 1 124
## 38 5 2 Medical 1 460
## 39 5 4 Technical Degree 1 65
## 40 1 1 Life Sciences 1 134
## 41 3 3 Life Sciences 1 1255
## 42 1 4 Other 1 1972
## 43 2 2 Life Sciences 1 1802
## 44 5 3 Medical 1 153
## 45 7 2 Medical 1 1025
## 46 20 1 Life Sciences 1 1533
## 47 1 3 Medical 1 1834
## 48 10 3 Medical 1 1836
## 49 10 1 Medical 1 1056
## 50 3 3 Medical 1 10
## 51 7 1 Marketing 1 585
## 52 8 1 Life Sciences 1 63
## 53 15 3 Other 1 1052
## 54 2 5 Medical 1 1231
## 55 22 5 Medical 1 1665
## 56 10 4 Life Sciences 1 483
## 57 8 3 Medical 1 1304
## 58 10 3 Medical 1 2015
## 59 16 2 Medical 1 22
## 60 2 2 Life Sciences 1 8
## 61 10 3 Life Sciences 1 1774
## 62 3 2 Life Sciences 1 727
## 63 1 3 Marketing 1 534
## 64 2 1 Life Sciences 1 918
## 65 4 3 Technical Degree 1 960
## 66 9 3 Medical 1 1494
## 67 1 4 Medical 1 288
## 68 8 4 Life Sciences 1 179
## 69 24 1 Life Sciences 1 2014
## 70 3 3 Medical 1 1875
## 71 9 4 Life Sciences 1 1534
## 72 6 3 Medical 1 1588
## 73 25 3 Life Sciences 1 81
## 74 2 4 Life Sciences 1 1027
## 75 10 3 Medical 1 411
## 76 2 1 Life Sciences 1 1590
## 77 7 1 Marketing 1 1780
## 78 23 3 Life Sciences 1 560
## 79 17 4 Life Sciences 1 608
## 80 27 2 Life Sciences 1 785
## 81 10 4 Technical Degree 1 1854
## 82 26 3 Marketing 1 1066
## 83 3 3 Other 1 1062
## 84 5 2 Life Sciences 1 1850
## 85 9 3 Life Sciences 1 1132
## 86 4 3 Life Sciences 1 1744
## 87 7 3 Life Sciences 1 112
## 88 29 4 Medical 1 1046
## 89 23 2 Life Sciences 1 1678
## 90 2 4 Life Sciences 1 825
## 91 15 3 Life Sciences 1 346
## 92 24 2 Technical Degree 1 335
## 93 12 3 Life Sciences 1 837
## 94 3 3 Human Resources 1 760
## 95 7 1 Medical 1 143
## 96 7 2 Medical 1 80
## 97 28 4 Medical 1 2054
## 98 2 2 Medical 1 513
## 99 2 3 Medical 1 1215
## 100 16 4 Medical 1 394
## 101 9 3 Marketing 1 1965
## 102 12 3 Medical 1 961
## 103 1 4 Medical 1 1286
## 104 1 3 Life Sciences 1 657
## 105 17 1 Medical 1 1009
## 106 18 1 Medical 1 315
## 107 6 3 Life Sciences 1 1022
## 108 23 3 Medical 1 1310
## 109 9 3 Life Sciences 1 880
## 110 4 2 Medical 1 1256
## 111 28 4 Life Sciences 1 1554
## 112 10 3 Marketing 1 580
## 113 2 3 Life Sciences 1 316
## 114 5 3 Other 1 2060
## 115 11 4 Marketing 1 2045
## 116 5 2 Life Sciences 1 1939
## 117 3 4 Life Sciences 1 1203
## 118 7 5 Marketing 1 1446
## 119 22 3 Medical 1 1043
## 120 9 4 Life Sciences 1 493
## 121 2 3 Life Sciences 1 909
## 122 9 3 Medical 1 1707
## 123 9 3 Human Resources 1 184
## 124 2 4 Medical 1 1212
## 125 10 3 Technical Degree 1 983
## 126 6 4 Other 1 138
## 127 10 1 Medical 1 1006
## 128 1 3 Medical 1 1422
## 129 3 4 Life Sciences 1 984
## 130 25 4 Life Sciences 1 911
## 131 5 2 Medical 1 103
## 132 4 1 Medical 1 467
## 133 2 3 Medical 1 1671
## 134 2 2 Medical 1 574
## 135 15 4 Other 1 1576
## 136 3 1 Medical 1 1915
## 137 2 3 Medical 1 1657
## 138 23 4 Life Sciences 1 393
## 139 7 2 Medical 1 1201
## 140 6 2 Marketing 1 205
## 141 10 3 Medical 1 342
## 142 6 4 Life Sciences 1 151
## 143 8 2 Technical Degree 1 436
## 144 9 4 Life Sciences 1 1807
## 145 26 4 Marketing 1 299
## 146 27 3 Technical Degree 1 1599
## 147 2 3 Medical 1 351
## 148 1 5 Marketing 1 204
## 149 5 3 Life Sciences 1 228
## 150 5 2 Life Sciences 1 1012
## 151 2 3 Other 1 606
## 152 1 5 Medical 1 479
## 153 19 4 Other 1 1871
## 154 1 1 Life Sciences 1 1712
## 155 10 3 Life Sciences 1 199
## 156 9 3 Life Sciences 1 2022
## 157 2 3 Human Resources 1 424
## 158 4 2 Life Sciences 1 527
## 159 3 2 Life Sciences 1 720
## 160 1 2 Medical 1 1098
## 161 2 1 Marketing 1 1396
## 162 2 3 Life Sciences 1 1778
## 163 5 1 Technical Degree 1 844
## 164 1 2 Life Sciences 1 1893
## 165 9 4 Other 1 1449
## 166 10 1 Medical 1 701
## 167 26 1 Medical 1 781
## 168 19 4 Medical 1 698
## 169 10 1 Medical 1 1800
## 170 27 3 Medical 1 793
## 171 29 2 Medical 1 355
## 172 1 4 Other 1 939
## 173 3 3 Medical 1 2024
## 174 1 2 Life Sciences 1 857
## 175 16 3 Medical 1 1947
## 176 1 3 Medical 1 1111
## 177 2 3 Medical 1 1573
## 178 5 4 Life Sciences 1 428
## 179 17 4 Life Sciences 1 1405
## 180 15 2 Medical 1 1645
## 181 2 5 Technical Degree 1 1572
## 182 18 1 Medical 1 286
## 183 8 4 Other 1 526
## 184 9 3 Medical 1 930
## 185 2 3 Medical 1 1648
## 186 3 3 Medical 1 538
## 187 1 1 Technical Degree 1 274
## 188 16 3 Marketing 1 327
## 189 8 2 Other 1 1794
## 190 2 1 Life Sciences 1 1136
## 191 1 2 Life Sciences 1 1483
## 192 10 4 Life Sciences 1 1615
## 193 6 3 Life Sciences 1 692
## 194 7 3 Life Sciences 1 1702
## 195 1 4 Life Sciences 1 422
## 196 9 1 Medical 1 758
## 197 2 4 Medical 1 2051
## 198 7 3 Life Sciences 1 549
## 199 7 3 Medical 1 1477
## 200 8 4 Marketing 1 738
## 201 11 3 Medical 1 1364
## 202 7 2 Medical 1 524
## 203 21 3 Marketing 1 1226
## 204 16 3 Life Sciences 1 1763
## 205 11 5 Marketing 1 1935
## 206 2 3 Marketing 1 1204
## 207 5 3 Other 1 32
## 208 20 3 Life Sciences 1 1881
## 209 3 3 Technical Degree 1 397
## 210 29 2 Life Sciences 1 547
## 211 2 4 Life Sciences 1 2048
## 212 1 4 Life Sciences 1 2052
## 213 9 3 Marketing 1 2023
## 214 1 3 Marketing 1 600
## 215 23 3 Life Sciences 1 12
## 216 5 4 Life Sciences 1 729
## 217 5 3 Technical Degree 1 1749
## 218 2 5 Medical 1 773
## 219 5 4 Technical Degree 1 423
## 220 10 3 Marketing 1 1403
## 221 10 1 Marketing 1 463
## 222 15 4 Marketing 1 2036
## 223 11 3 Other 1 306
## 224 10 3 Technical Degree 1 1239
## 225 5 2 Life Sciences 1 369
## 226 1 4 Life Sciences 1 635
## 227 1 2 Medical 1 340
## 228 8 3 Human Resources 1 1747
## 229 2 3 Medical 1 471
## 230 10 4 Medical 1 1809
## 231 4 1 Medical 1 253
## 232 2 2 Marketing 1 516
## 233 2 2 Life Sciences 1 361
## 234 7 2 Marketing 1 862
## 235 7 4 Other 1 949
## 236 10 3 Life Sciences 1 1143
## 237 14 3 Life Sciences 1 1244
## 238 1 4 Life Sciences 1 665
## 239 20 3 Life Sciences 1 293
## 240 18 4 Medical 1 1945
## 241 8 4 Life Sciences 1 1630
## 242 1 2 Technical Degree 1 1048
## 243 15 1 Medical 1 582
## 244 8 2 Technical Degree 1 723
## 245 25 3 Medical 1 1993
## 246 15 3 Life Sciences 1 1870
## 247 10 4 Life Sciences 1 518
## 248 1 3 Life Sciences 1 1315
## 249 5 3 Technical Degree 1 940
## 250 14 3 Technical Degree 1 666
## 251 28 3 Marketing 1 2055
## 252 1 4 Medical 1 1116
## 253 1 3 Life Sciences 1 1956
## 254 2 2 Medical 1 264
## 255 20 3 Technical Degree 1 1265
## 256 1 1 Technical Degree 1 235
## 257 7 3 Life Sciences 1 647
## 258 11 4 Life Sciences 1 813
## 259 2 4 Life Sciences 1 410
## 260 8 1 Life Sciences 1 1019
## 261 3 4 Medical 1 337
## 262 13 4 Medical 1 1307
## 263 2 4 Life Sciences 1 659
## 264 2 3 Medical 1 1675
## 265 9 3 Medical 1 190
## 266 1 2 Medical 1 1083
## 267 10 3 Medical 1 486
## 268 1 3 Marketing 1 1349
## 269 3 3 Life Sciences 1 307
## 270 15 2 Life Sciences 1 1666
## 271 23 3 Medical 1 367
## 272 8 4 Marketing 1 35
## 273 4 4 Life Sciences 1 1024
## 274 5 4 Medical 1 916
## 275 1 5 Human Resources 1 1642
## 276 20 3 Life Sciences 1 2046
## 277 8 3 Medical 1 2068
## 278 4 3 Medical 1 1916
## 279 1 3 Life Sciences 1 1249
## 280 2 3 Life Sciences 1 117
## 281 7 3 Life Sciences 1 1382
## 282 2 1 Life Sciences 1 1371
## 283 20 4 Life Sciences 1 450
## 284 12 1 Life Sciences 1 1175
## 285 20 4 Medical 1 170
## 286 3 3 Medical 1 258
## 287 1 3 Medical 1 896
## 288 2 4 Other 1 1847
## 289 6 3 Life Sciences 1 1162
## 290 6 2 Medical 1 178
## 291 10 4 Life Sciences 1 1200
## 292 1 3 Life Sciences 1 743
## 293 20 1 Medical 1 1852
## 294 1 3 Technical Degree 1 623
## 295 5 2 Medical 1 848
## 296 13 3 Other 1 1234
## 297 20 4 Technical Degree 1 1092
## 298 12 3 Technical Degree 1 533
## 299 6 4 Medical 1 655
## 300 21 3 Life Sciences 1 267
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## 1 1 Male 92 3 2
## 2 2 Female 53 3 1
## 3 1 Male 85 4 4
## 4 1 Male 66 4 1
## 5 4 Male 67 2 1
## 6 4 Male 56 3 2
## 7 3 Male 95 3 2
## 8 1 Female 45 2 1
## 9 1 Male 96 1 1
## 10 4 Female 82 2 4
## 11 1 Male 52 3 3
## 12 2 Male 88 3 1
## 13 2 Female 62 3 2
## 14 3 Male 84 3 2
## 15 1 Male 78 2 2
## 16 2 Female 34 3 2
## 17 4 Male 93 1 2
## 18 2 Female 32 3 2
## 19 4 Male 48 3 2
## 20 3 Male 100 3 1
## 21 3 Male 98 3 2
## 22 3 Male 33 3 3
## 23 3 Male 64 2 3
## 24 4 Female 71 4 2
## 25 3 Male 35 3 3
## 26 4 Male 82 3 3
## 27 1 Female 74 3 3
## 28 3 Male 37 3 4
## 29 3 Female 66 3 2
## 30 4 Female 96 3 1
## 31 1 Male 40 3 1
## 32 1 Female 79 3 2
## 33 3 Female 96 3 2
## 34 1 Male 83 3 1
## 35 4 Female 90 3 4
## 36 4 Female 30 3 2
## 37 3 Male 40 2 3
## 38 4 Male 61 3 2
## 39 3 Male 50 3 1
## 40 4 Male 71 3 1
## 41 3 Male 96 1 5
## 42 4 Male 88 3 1
## 43 3 Female 99 3 1
## 44 3 Female 45 2 3
## 45 4 Female 42 3 2
## 46 1 Male 97 3 2
## 47 3 Female 67 3 1
## 48 3 Male 46 3 2
## 49 4 Male 74 3 1
## 50 3 Female 81 4 1
## 51 4 Male 57 3 1
## 52 4 Male 36 4 1
## 53 1 Male 81 3 2
## 54 4 Male 79 4 2
## 55 2 Female 91 3 4
## 56 4 Female 46 4 1
## 57 3 Male 56 4 2
## 58 2 Female 99 1 3
## 59 4 Male 96 4 1
## 60 4 Male 79 3 1
## 61 4 Male 87 3 2
## 62 3 Female 39 3 3
## 63 2 Male 49 4 3
## 64 4 Male 57 2 1
## 65 1 Male 84 3 1
## 66 2 Male 89 3 1
## 67 4 Male 97 3 3
## 68 1 Male 53 1 3
## 69 1 Male 52 3 2
## 70 2 Female 78 3 1
## 71 4 Male 86 3 1
## 72 4 Male 38 4 3
## 73 1 Female 99 3 3
## 74 1 Female 47 3 2
## 75 4 Female 69 2 1
## 76 1 Male 87 3 2
## 77 2 Male 31 3 1
## 78 1 Female 90 3 1
## 79 2 Female 58 3 1
## 80 2 Female 77 4 2
## 81 3 Male 38 3 1
## 82 3 Male 74 3 2
## 83 4 Female 35 3 2
## 84 4 Female 53 3 1
## 85 3 Male 70 3 2
## 86 3 Female 56 1 3
## 87 4 Male 49 1 3
## 88 4 Female 69 3 1
## 89 4 Male 80 3 3
## 90 4 Male 31 3 5
## 91 3 Male 60 3 1
## 92 1 Male 62 3 2
## 93 1 Male 45 2 2
## 94 3 Female 44 4 2
## 95 4 Male 64 2 1
## 96 2 Female 43 2 5
## 97 4 Female 73 2 1
## 98 2 Male 61 2 3
## 99 4 Female 30 3 4
## 100 1 Male 45 3 1
## 101 4 Male 44 3 2
## 102 4 Female 41 3 2
## 103 4 Male 44 3 1
## 104 4 Female 83 2 1
## 105 4 Female 41 2 2
## 106 3 Male 86 2 1
## 107 1 Male 97 2 2
## 108 3 Male 93 3 1
## 109 4 Female 66 2 3
## 110 1 Male 85 2 5
## 111 2 Female 98 2 1
## 112 3 Female 94 2 3
## 113 3 Female 89 2 1
## 114 4 Female 30 2 1
## 115 2 Female 100 2 2
## 116 1 Female 47 4 1
## 117 3 Male 48 2 1
## 118 4 Male 97 3 2
## 119 4 Female 82 3 3
## 120 3 Male 42 2 1
## 121 4 Female 42 2 2
## 122 3 Male 62 4 1
## 123 3 Male 48 3 2
## 124 2 Male 62 3 2
## 125 3 Female 85 3 2
## 126 1 Female 41 3 2
## 127 3 Male 66 3 1
## 128 4 Female 54 3 4
## 129 4 Male 92 3 3
## 130 1 Male 87 3 1
## 131 2 Male 80 3 2
## 132 2 Male 99 3 2
## 133 4 Male 45 3 2
## 134 1 Female 65 3 2
## 135 3 Female 65 3 1
## 136 4 Female 75 2 2
## 137 3 Female 31 3 1
## 138 4 Male 82 3 2
## 139 4 Female 50 3 5
## 140 2 Male 34 3 2
## 141 1 Male 61 3 3
## 142 3 Female 45 2 2
## 143 3 Female 65 2 2
## 144 4 Male 93 3 2
## 145 3 Female 52 2 2
## 146 4 Male 87 4 1
## 147 4 Female 56 2 1
## 148 3 Male 94 3 3
## 149 2 Female 41 3 3
## 150 2 Male 73 3 1
## 151 4 Male 61 3 2
## 152 4 Female 45 3 2
## 153 4 Male 41 3 2
## 154 3 Male 74 2 3
## 155 4 Male 91 2 4
## 156 4 Male 87 3 5
## 157 1 Male 62 2 2
## 158 2 Female 99 2 2
## 159 1 Female 65 3 2
## 160 2 Male 91 2 3
## 161 3 Male 36 3 2
## 162 2 Male 97 3 1
## 163 3 Male 42 2 3
## 164 2 Female 90 2 1
## 165 3 Male 81 3 2
## 166 4 Male 32 3 1
## 167 3 Female 32 3 2
## 168 3 Male 88 3 3
## 169 3 Male 65 3 3
## 170 2 Female 66 3 2
## 171 3 Male 71 2 1
## 172 3 Male 100 2 1
## 173 1 Female 94 2 3
## 174 2 Male 56 3 2
## 175 3 Male 49 3 1
## 176 1 Male 45 2 1
## 177 3 Male 81 3 2
## 178 4 Female 74 3 3
## 179 4 Female 51 3 1
## 180 1 Male 59 1 2
## 181 3 Female 78 2 3
## 182 2 Female 73 3 1
## 183 3 Female 74 3 2
## 184 3 Female 77 3 1
## 185 4 Male 87 3 1
## 186 1 Male 91 3 1
## 187 3 Male 60 2 2
## 188 4 Female 80 3 4
## 189 3 Male 89 3 2
## 190 1 Male 67 2 1
## 191 2 Male 93 4 2
## 192 3 Male 42 4 2
## 193 3 Male 30 3 2
## 194 3 Male 99 3 1
## 195 4 Male 32 1 2
## 196 2 Male 37 3 1
## 197 3 Female 98 3 1
## 198 1 Female 41 3 5
## 199 4 Male 54 3 2
## 200 4 Male 54 3 1
## 201 3 Female 98 4 1
## 202 2 Female 31 3 2
## 203 3 Male 43 4 1
## 204 3 Male 58 4 2
## 205 4 Female 89 2 2
## 206 3 Female 69 3 4
## 207 3 Female 58 3 5
## 208 2 Male 89 3 2
## 209 3 Male 30 3 2
## 210 1 Female 92 3 2
## 211 3 Male 52 2 1
## 212 3 Female 62 1 1
## 213 4 Male 33 3 1
## 214 2 Male 85 3 2
## 215 4 Male 44 2 3
## 216 4 Male 48 2 3
## 217 1 Male 51 3 2
## 218 4 Male 92 3 1
## 219 3 Male 86 3 1
## 220 4 Female 98 2 2
## 221 4 Female 39 2 2
## 222 4 Male 88 1 2
## 223 2 Male 47 3 3
## 224 2 Female 84 2 2
## 225 2 Male 85 4 2
## 226 2 Female 65 3 2
## 227 3 Female 83 2 1
## 228 3 Female 66 2 1
## 229 3 Female 75 3 1
## 230 4 Male 58 3 2
## 231 4 Female 46 3 5
## 232 4 Female 46 3 2
## 233 4 Male 39 2 2
## 234 1 Female 78 2 3
## 235 2 Male 65 3 1
## 236 4 Female 61 3 1
## 237 1 Male 42 3 1
## 238 1 Female 50 2 2
## 239 4 Female 90 3 2
## 240 2 Male 71 3 2
## 241 3 Female 52 3 2
## 242 2 Male 66 3 3
## 243 2 Male 56 3 3
## 244 2 Male 50 3 2
## 245 1 Male 84 3 3
## 246 4 Female 77 2 1
## 247 3 Male 49 3 2
## 248 3 Female 55 1 2
## 249 3 Female 37 2 3
## 250 3 Female 31 3 1
## 251 4 Male 39 2 3
## 252 1 Male 35 4 4
## 253 4 Male 48 1 2
## 254 1 Male 65 2 4
## 255 3 Female 89 4 1
## 256 3 Female 100 1 1
## 257 1 Female 55 3 1
## 258 4 Female 82 3 2
## 259 4 Male 88 3 4
## 260 2 Male 94 1 1
## 261 2 Male 73 3 3
## 262 3 Female 94 2 4
## 263 3 Female 81 3 2
## 264 4 Female 42 2 1
## 265 1 Female 41 3 1
## 266 1 Male 59 2 1
## 267 3 Female 98 3 1
## 268 3 Female 66 3 2
## 269 1 Male 76 3 3
## 270 3 Male 65 2 4
## 271 2 Male 64 2 2
## 272 3 Male 48 3 2
## 273 3 Male 78 2 3
## 274 1 Male 98 3 2
## 275 1 Male 37 3 2
## 276 4 Female 50 3 2
## 277 2 Male 82 4 2
## 278 1 Female 62 4 1
## 279 1 Female 97 3 1
## 280 3 Male 99 2 2
## 281 4 Male 57 4 1
## 282 4 Male 43 1 2
## 283 4 Female 31 3 2
## 284 3 Female 79 3 1
## 285 3 Female 96 3 2
## 286 4 Female 98 3 4
## 287 2 Female 48 2 1
## 288 4 Female 73 3 2
## 289 4 Male 55 2 1
## 290 2 Male 84 3 2
## 291 3 Male 96 3 1
## 292 3 Female 81 3 3
## 293 4 Male 40 3 1
## 294 2 Female 59 3 3
## 295 3 Female 88 2 1
## 296 3 Female 77 2 1
## 297 1 Male 61 3 3
## 298 2 Female 83 3 2
## 299 1 Female 66 2 1
## 300 2 Male 65 4 1
## JobRole JobSatisfaction MaritalStatus MonthlyRate
## 1 Sales Executive 4 Married 19246
## 2 Research Scientist 4 Single 17241
## 3 Sales Executive 3 Single 9277
## 4 Laboratory Technician 2 Married 9238
## 5 Laboratory Technician 1 Divorced 16290
## 6 Sales Representative 4 Married 3335
## 7 Sales Executive 2 Married 15480
## 8 Laboratory Technician 3 Single 25308
## 9 Research Scientist 3 Divorced 22310
## 10 Manufacturing Director 2 Single 24439
## 11 Sales Executive 4 Divorced 15986
## 12 Laboratory Technician 2 Married 6762
## 13 Sales Executive 3 Married 3487
## 14 Sales Executive 4 Married 24008
## 15 Sales Executive 2 Married 3687
## 16 Manufacturing Director 3 Married 10022
## 17 Healthcare Representative 3 Divorced 21143
## 18 Manufacturing Director 1 Divorced 4187
## 19 Laboratory Technician 4 Divorced 9528
## 20 Human Resources 3 Single 7108
## 21 Research Scientist 4 Single 22455
## 22 Sales Executive 2 Married 17799
## 23 Sales Executive 4 Single 13596
## 24 Sales Executive 4 Divorced 16673
## 25 Healthcare Representative 2 Divorced 20948
## 26 Manufacturing Director 4 Divorced 19989
## 27 Sales Executive 1 Single 10092
## 28 Manager 3 Married 26582
## 29 Sales Executive 1 Single 23553
## 30 Research Scientist 3 Married 11868
## 31 Laboratory Technician 2 Married 16632
## 32 Sales Executive 3 Married 9282
## 33 Sales Executive 3 Divorced 13693
## 34 Laboratory Technician 4 Married 4060
## 35 Manager 4 Married 5404
## 36 Sales Executive 2 Married 13401
## 37 Healthcare Representative 1 Married 3142
## 38 Manufacturing Director 4 Divorced 23177
## 39 Laboratory Technician 3 Single 11179
## 40 Research Scientist 1 Single 15178
## 41 Research Director 4 Married 18625
## 42 Human Resources 2 Married 5224
## 43 Laboratory Technician 1 Married 25605
## 44 Manager 1 Single 5615
## 45 Manufacturing Director 3 Single 23371
## 46 Laboratory Technician 3 Single 24812
## 47 Research Scientist 1 Married 12719
## 48 Sales Executive 4 Single 9125
## 49 Sales Representative 2 Married 23384
## 50 Laboratory Technician 1 Married 9964
## 51 Sales Representative 2 Single 18398
## 52 Laboratory Technician 4 Married 4892
## 53 Laboratory Technician 3 Divorced 7858
## 54 Human Resources 1 Married 12858
## 55 Manager 3 Married 18685
## 56 Laboratory Technician 3 Married 22495
## 57 Sales Executive 4 Married 11693
## 58 Research Director 3 Married 3376
## 59 Laboratory Technician 4 Divorced 7324
## 60 Laboratory Technician 4 Single 11864
## 61 Sales Executive 3 Divorced 12313
## 62 Research Director 4 Single 19373
## 63 Sales Executive 1 Married 19566
## 64 Laboratory Technician 4 Divorced 13384
## 65 Laboratory Technician 1 Single 13008
## 66 Laboratory Technician 1 Single 16998
## 67 Healthcare Representative 1 Divorced 12368
## 68 Manufacturing Director 4 Single 25150
## 69 Research Scientist 4 Single 5340
## 70 Sales Representative 2 Married 3692
## 71 Laboratory Technician 1 Single 21831
## 72 Sales Executive 3 Married 4658
## 73 Sales Executive 1 Single 2354
## 74 Manufacturing Director 4 Married 4658
## 75 Sales Representative 3 Single 9724
## 76 Healthcare Representative 4 Divorced 24483
## 77 Sales Representative 2 Single 4567
## 78 Research Scientist 4 Divorced 3032
## 79 Human Resources 3 Divorced 22808
## 80 Sales Executive 3 Single 10339
## 81 Research Scientist 3 Married 6161
## 82 Sales Executive 1 Married 22217
## 83 Healthcare Representative 2 Single 13848
## 84 Laboratory Technician 4 Single 19826
## 85 Laboratory Technician 2 Single 8770
## 86 Human Resources 3 Married 6595
## 87 Manufacturing Director 4 Single 21698
## 88 Laboratory Technician 3 Single 11135
## 89 Sales Executive 3 Single 11591
## 90 Research Director 2 Single 25761
## 91 Research Scientist 4 Single 22673
## 92 Research Scientist 4 Divorced 24447
## 93 Healthcare Representative 1 Divorced 4284
## 94 Human Resources 2 Married 18767
## 95 Research Scientist 4 Married 26897
## 96 Research Director 3 Divorced 16701
## 97 Research Scientist 1 Single 8489
## 98 Sales Executive 3 Married 3809
## 99 Manager 1 Married 9490
## 100 Laboratory Technician 2 Divorced 14180
## 101 Sales Executive 4 Single 5099
## 102 Healthcare Representative 4 Married 17369
## 103 Laboratory Technician 3 Single 6842
## 104 Research Scientist 2 Single 11757
## 105 Manufacturing Director 3 Divorced 24117
## 106 Research Scientist 4 Single 14961
## 107 Healthcare Representative 3 Single 13119
## 108 Research Scientist 1 Single 22154
## 109 Manufacturing Director 3 Married 23457
## 110 Manager 3 Married 12124
## 111 Sales Representative 3 Married 26204
## 112 Sales Executive 4 Married 11563
## 113 Laboratory Technician 4 Single 3300
## 114 Sales Representative 3 Single 21378
## 115 Sales Executive 4 Married 14369
## 116 Research Scientist 3 Single 15318
## 117 Research Scientist 4 Married 4223
## 118 Sales Executive 4 Married 23343
## 119 Manufacturing Director 1 Single 5083
## 120 Research Scientist 2 Single 7551
## 121 Human Resources 4 Married 7790
## 122 Research Scientist 3 Married 17616
## 123 Human Resources 4 Married 13982
## 124 Sales Executive 2 Married 25440
## 125 Sales Executive 4 Single 19899
## 126 Research Scientist 3 Single 12482
## 127 Research Scientist 3 Married 12127
## 128 Research Director 4 Single 5652
## 129 Sales Executive 4 Divorced 6812
## 130 Laboratory Technician 4 Single 18016
## 131 Human Resources 2 Divorced 10425
## 132 Sales Representative 3 Single 25751
## 133 Research Scientist 2 Divorced 25518
## 134 Manufacturing Director 4 Divorced 7389
## 135 Research Scientist 1 Married 16530
## 136 Sales Executive 4 Married 16495
## 137 Sales Representative 3 Single 13251
## 138 Healthcare Representative 4 Divorced 18899
## 139 Manager 3 Divorced 18640
## 140 Sales Representative 3 Married 16047
## 141 Manufacturing Director 3 Divorced 22573
## 142 Research Scientist 2 Divorced 15000
## 143 Sales Executive 2 Married 24624
## 144 Laboratory Technician 1 Married 6208
## 145 Sales Executive 1 Single 22967
## 146 Laboratory Technician 2 Divorced 5855
## 147 Laboratory Technician 1 Divorced 8007
## 148 Sales Executive 2 Married 11439
## 149 Sales Executive 4 Married 8053
## 150 Research Scientist 4 Single 13493
## 151 Sales Executive 2 Married 16177
## 152 Sales Executive 4 Single 15276
## 153 Research Scientist 4 Divorced 5141
## 154 Healthcare Representative 3 Married 3395
## 155 Manager 1 Divorced 12888
## 156 Manager 4 Single 15302
## 157 Human Resources 1 Married 17822
## 158 Sales Executive 4 Single 12090
## 159 Sales Executive 3 Single 24785
## 160 Human Resources 1 Married 2326
## 161 Sales Executive 2 Married 20497
## 162 Human Resources 4 Single 5033
## 163 Research Director 4 Divorced 8842
## 164 Research Scientist 3 Married 14908
## 165 Laboratory Technician 3 Divorced 23099
## 166 Research Scientist 3 Single 26999
## 167 Sales Executive 4 Single 22807
## 168 Human Resources 2 Married 6729
## 169 Research Director 3 Single 7914
## 170 Healthcare Representative 3 Married 25549
## 171 Laboratory Technician 2 Single 11652
## 172 Research Scientist 1 Single 3339
## 173 Sales Executive 4 Married 12695
## 174 Sales Executive 4 Married 2823
## 175 Research Scientist 3 Single 2122
## 176 Laboratory Technician 2 Divorced 7160
## 177 Manufacturing Director 2 Married 7653
## 178 Manager 2 Married 23364
## 179 Research Scientist 3 Single 25681
## 180 Sales Executive 4 Divorced 22098
## 181 Manufacturing Director 4 Married 14618
## 182 Laboratory Technician 4 Single 7703
## 183 Healthcare Representative 3 Divorced 2227
## 184 Research Scientist 3 Divorced 9834
## 185 Research Scientist 4 Single 6297
## 186 Laboratory Technician 1 Married 9396
## 187 Manufacturing Director 1 Married 9679
## 188 Manager 4 Married 7744
## 189 Human Resources 2 Divorced 12832
## 190 Research Scientist 2 Married 19911
## 191 Research Scientist 3 Married 2721
## 192 Manufacturing Director 4 Divorced 17000
## 193 Healthcare Representative 4 Divorced 5335
## 194 Sales Representative 4 Divorced 25103
## 195 Healthcare Representative 3 Divorced 17056
## 196 Laboratory Technician 1 Married 4344
## 197 Research Scientist 3 Married 12549
## 198 Manager 1 Married 3854
## 199 Sales Executive 1 Married 17456
## 200 Sales Representative 2 Married 9983
## 201 Sales Representative 4 Married 6527
## 202 Manufacturing Director 1 Married 4156
## 203 Sales Representative 4 Single 5050
## 204 Healthcare Representative 3 Married 9128
## 205 Sales Executive 1 Married 20328
## 206 Manager 1 Married 24097
## 207 Manager 3 Divorced 10735
## 208 Laboratory Technician 3 Divorced 18624
## 209 Research Scientist 2 Single 26285
## 210 Research Scientist 3 Divorced 12932
## 211 Research Scientist 3 Single 2725
## 212 Research Scientist 4 Married 8952
## 213 Sales Representative 1 Married 26956
## 214 Sales Executive 3 Married 18659
## 215 Manufacturing Director 3 Single 8787
## 216 Sales Executive 1 Married 23772
## 217 Sales Executive 3 Married 20943
## 218 Research Scientist 3 Married 20471
## 219 Research Scientist 4 Married 10077
## 220 Sales Executive 4 Married 7100
## 221 Sales Executive 2 Divorced 11866
## 222 Sales Executive 4 Divorced 10436
## 223 Research Director 4 Divorced 10056
## 224 Sales Executive 2 Divorced 11591
## 225 Healthcare Representative 1 Divorced 18384
## 226 Manufacturing Director 2 Married 15701
## 227 Research Scientist 1 Married 18697
## 228 Human Resources 4 Divorced 9732
## 229 Laboratory Technician 2 Married 3956
## 230 Manufacturing Director 1 Single 4992
## 231 Manager 3 Married 6499
## 232 Sales Executive 2 Divorced 22553
## 233 Sales Executive 4 Married 19682
## 234 Sales Executive 4 Married 20715
## 235 Research Scientist 4 Single 23293
## 236 Research Scientist 2 Divorced 17940
## 237 Research Scientist 1 Married 14377
## 238 Human Resources 3 Single 26894
## 239 Sales Executive 3 Single 12916
## 240 Sales Executive 1 Married 15975
## 241 Healthcare Representative 3 Married 12250
## 242 Manager 4 Married 11038
## 243 Manager 3 Married 24619
## 244 Sales Executive 3 Married 23452
## 245 Healthcare Representative 3 Single 13084
## 246 Research Scientist 1 Married 23844
## 247 Manufacturing Director 2 Single 21123
## 248 Laboratory Technician 4 Married 16392
## 249 Healthcare Representative 2 Divorced 9255
## 250 Sales Representative 3 Divorced 2912
## 251 Sales Executive 1 Divorced 16586
## 252 Manager 4 Single 16154
## 253 Research Scientist 1 Married 5771
## 254 Manager 4 Married 20462
## 255 Research Scientist 3 Married 21643
## 256 Sales Representative 1 Single 20989
## 257 Laboratory Technician 3 Married 14168
## 258 Laboratory Technician 3 Married 21821
## 259 Manager 2 Single 15896
## 260 Laboratory Technician 1 Married 6881
## 261 Research Director 3 Divorced 13523
## 262 Manager 2 Divorced 17334
## 263 Healthcare Representative 4 Married 5718
## 264 Laboratory Technician 2 Single 23826
## 265 Laboratory Technician 1 Single 10224
## 266 Laboratory Technician 1 Married 11141
## 267 Laboratory Technician 1 Married 17663
## 268 Sales Executive 1 Divorced 4297
## 269 Sales Executive 3 Divorced 9647
## 270 Research Director 3 Married 3525
## 271 Healthcare Representative 4 Married 14408
## 272 Sales Executive 2 Married 21173
## 273 Healthcare Representative 3 Single 22245
## 274 Sales Executive 4 Single 24252
## 275 Human Resources 4 Married 10503
## 276 Sales Executive 3 Single 23333
## 277 Laboratory Technician 3 Married 10228
## 278 Laboratory Technician 3 Divorced 16031
## 279 Research Scientist 4 Divorced 5598
## 280 Healthcare Representative 4 Married 15830
## 281 Research Scientist 3 Divorced 15748
## 282 Sales Executive 4 Single 20392
## 283 Research Scientist 3 Single 16885
## 284 Laboratory Technician 4 Married 22955
## 285 Manufacturing Director 1 Married 5549
## 286 Healthcare Representative 2 Single 7192
## 287 Sales Representative 3 Divorced 23522
## 288 Research Scientist 2 Married 19573
## 289 Research Scientist 3 Married 7950
## 290 Manufacturing Director 2 Divorced 2819
## 291 Research Scientist 3 Single 10826
## 292 Manufacturing Director 3 Single 15397
## 293 Laboratory Technician 4 Married 7003
## 294 Manufacturing Director 4 Single 23848
## 295 Research Scientist 3 Married 20898
## 296 Laboratory Technician 2 Married 7331
## 297 Healthcare Representative 4 Married 26542
## 298 Sales Executive 3 Single 19558
## 299 Research Scientist 3 Divorced 5013
## 300 Research Scientist 1 Married 22977
## NumCompaniesWorked Over18 OverTime PercentSalaryHike PerformanceRating
## 1 1 Y No 20 4
## 2 3 Y No 18 3
## 3 6 Y Yes 17 3
## 4 1 Y No 22 4
## 5 1 Y No 11 3
## 6 3 Y No 14 3
## 7 0 Y No 13 3
## 8 1 Y No 20 4
## 9 1 Y No 25 4
## 10 3 Y No 16 3
## 11 4 Y No 11 3
## 12 3 Y No 22 4
## 13 1 Y No 14 3
## 14 0 Y No 19 3
## 15 2 Y No 19 3
## 16 0 Y Yes 19 3
## 17 8 Y No 17 3
## 18 3 Y No 14 3
## 19 3 Y No 22 4
## 20 1 Y No 17 3
## 21 1 Y No 13 3
## 22 3 Y No 12 3
## 23 1 Y No 16 3
## 24 1 Y Yes 20 4
## 25 3 Y No 14 3
## 26 3 Y No 14 3
## 27 2 Y Yes 20 4
## 28 0 Y Yes 13 3
## 29 1 Y No 12 3
## 30 4 Y No 13 3
## 31 9 Y No 12 3
## 32 7 Y No 12 3
## 33 8 Y No 14 3
## 34 8 Y No 19 3
## 35 3 Y No 13 3
## 36 0 Y No 17 3
## 37 2 Y Yes 13 3
## 38 7 Y No 16 3
## 39 1 Y Yes 13 3
## 40 1 Y No 13 3
## 41 3 Y No 14 3
## 42 0 Y Yes 11 3
## 43 4 Y No 17 3
## 44 2 Y No 12 3
## 45 6 Y No 14 3
## 46 0 Y No 14 3
## 47 1 Y No 25 4
## 48 1 Y No 13 3
## 49 1 Y No 22 4
## 50 4 Y Yes 20 4
## 51 0 Y No 14 3
## 52 1 Y No 19 3
## 53 7 Y No 14 3
## 54 7 Y No 16 3
## 55 3 Y No 25 4
## 56 3 Y Yes 13 3
## 57 1 Y No 15 3
## 58 3 Y No 12 3
## 59 1 Y Yes 13 3
## 60 0 Y No 13 3
## 61 1 Y Yes 14 3
## 62 3 Y No 15 3
## 63 1 Y No 16 3
## 64 9 Y Yes 14 3
## 65 1 Y No 19 3
## 66 2 Y Yes 11 3
## 67 7 Y No 16 3
## 68 2 Y No 15 3
## 69 7 Y No 13 3
## 70 1 Y No 19 3
## 71 3 Y No 14 3
## 72 2 Y No 11 3
## 73 7 Y No 11 3
## 74 0 Y No 18 3
## 75 1 Y No 12 3
## 76 1 Y No 19 3
## 77 1 Y No 13 3
## 78 1 Y No 22 4
## 79 0 Y Yes 11 3
## 80 4 Y Yes 12 3
## 81 3 Y No 22 4
## 82 1 Y No 14 3
## 83 3 Y No 15 3
## 84 0 Y Yes 14 3
## 85 9 Y No 15 3
## 86 4 Y No 21 4
## 87 4 Y No 11 3
## 88 9 Y No 12 3
## 89 3 Y Yes 16 3
## 90 7 Y Yes 12 3
## 91 1 Y No 19 3
## 92 1 Y No 17 3
## 93 2 Y No 15 3
## 94 9 Y No 15 3
## 95 1 Y No 11 3
## 96 5 Y Yes 12 3
## 97 1 Y No 14 3
## 98 1 Y No 13 3
## 99 2 Y No 22 4
## 100 2 Y Yes 13 3
## 101 1 Y No 14 3
## 102 0 Y Yes 11 3
## 103 0 Y Yes 11 3
## 104 1 Y No 13 3
## 105 1 Y No 15 3
## 106 1 Y Yes 13 3
## 107 2 Y No 13 3
## 108 0 Y No 13 3
## 109 1 Y Yes 20 4
## 110 2 Y No 13 3
## 111 0 Y No 23 4
## 112 2 Y Yes 19 3
## 113 7 Y No 15 3
## 114 0 Y No 18 3
## 115 4 Y No 13 3
## 116 3 Y Yes 14 3
## 117 0 Y Yes 11 3
## 118 4 Y No 12 3
## 119 1 Y Yes 13 3
## 120 0 Y Yes 16 3
## 121 8 Y No 11 3
## 122 1 Y No 16 3
## 123 0 Y Yes 19 3
## 124 5 Y No 12 3
## 125 1 Y Yes 13 3
## 126 1 Y No 14 3
## 127 0 Y No 17 3
## 128 6 Y No 19 3
## 129 6 Y No 13 3
## 130 1 Y Yes 24 4
## 131 8 Y Yes 22 4
## 132 3 Y No 19 3
## 133 0 Y No 13 3
## 134 5 Y No 13 3
## 135 8 Y No 12 3
## 136 3 Y Yes 12 3
## 137 1 Y No 19 3
## 138 9 Y No 14 3
## 139 3 Y No 18 3
## 140 2 Y Yes 20 4
## 141 6 Y No 11 3
## 142 6 Y No 15 3
## 143 1 Y Yes 11 3
## 144 4 Y No 17 3
## 145 5 Y No 15 3
## 146 5 Y No 12 3
## 147 0 Y Yes 11 3
## 148 1 Y No 13 3
## 149 2 Y No 12 3
## 150 1 Y No 15 3
## 151 0 Y No 19 3
## 152 4 Y No 15 3
## 153 8 Y No 14 3
## 154 3 Y No 23 4
## 155 4 Y No 13 3
## 156 2 Y No 13 3
## 157 3 Y No 12 3
## 158 1 Y Yes 11 3
## 159 9 Y No 14 3
## 160 9 Y No 14 3
## 161 0 Y Yes 13 3
## 162 0 Y No 13 3
## 163 1 Y Yes 16 3
## 164 1 Y Yes 13 3
## 165 3 Y No 11 3
## 166 1 Y Yes 11 3
## 167 1 Y No 23 4
## 168 2 Y No 15 3
## 169 7 Y No 21 4
## 170 4 Y No 12 3
## 171 0 Y No 11 3
## 172 3 Y Yes 11 3
## 173 0 Y No 19 3
## 174 1 Y Yes 14 3
## 175 1 Y No 14 3
## 176 1 Y No 15 3
## 177 4 Y No 11 3
## 178 6 Y No 11 3
## 179 1 Y Yes 13 3
## 180 6 Y Yes 14 3
## 181 0 Y No 16 3
## 182 1 Y No 13 3
## 183 4 Y Yes 14 3
## 184 5 Y No 18 3
## 185 2 Y No 13 3
## 186 5 Y No 13 3
## 187 5 Y No 19 3
## 188 5 Y Yes 22 4
## 189 2 Y No 13 3
## 190 0 Y No 17 3
## 191 0 Y No 24 4
## 192 1 Y No 13 3
## 193 3 Y No 23 4
## 194 1 Y Yes 21 4
## 195 2 Y Yes 13 3
## 196 1 Y No 14 3
## 197 2 Y No 14 3
## 198 5 Y No 11 3
## 199 0 Y No 14 3
## 200 7 Y No 15 3
## 201 8 Y No 14 3
## 202 1 Y No 12 3
## 203 1 Y No 17 3
## 204 3 Y No 16 3
## 205 4 Y No 16 3
## 206 8 Y No 23 4
## 207 4 Y No 11 3
## 208 1 Y No 11 3
## 209 4 Y No 12 3
## 210 2 Y No 11 3
## 211 2 Y No 14 3
## 212 1 Y No 12 3
## 213 1 Y No 19 3
## 214 9 Y No 11 3
## 215 0 Y No 21 4
## 216 5 Y Yes 21 4
## 217 1 Y No 19 3
## 218 6 Y Yes 13 3
## 219 0 Y Yes 12 3
## 220 1 Y Yes 11 3
## 221 1 Y Yes 14 3
## 222 1 Y No 24 4
## 223 1 Y Yes 14 3
## 224 7 Y No 12 3
## 225 1 Y No 12 3
## 226 6 Y No 12 3
## 227 2 Y No 14 3
## 228 6 Y No 11 3
## 229 1 Y No 13 3
## 230 1 Y No 15 3
## 231 1 Y No 14 3
## 232 7 Y No 12 3
## 233 3 Y No 18 3
## 234 7 Y Yes 18 3
## 235 2 Y No 18 3
## 236 0 Y No 14 3
## 237 1 Y Yes 14 3
## 238 4 Y No 11 3
## 239 1 Y No 14 3
## 240 0 Y No 16 3
## 241 1 Y No 12 3
## 242 3 Y Yes 14 3
## 243 7 Y Yes 12 3
## 244 3 Y Yes 14 3
## 245 2 Y No 23 4
## 246 0 Y No 19 3
## 247 2 Y Yes 12 3
## 248 0 Y No 11 3
## 249 2 Y Yes 13 3
## 250 1 Y Yes 18 3
## 251 4 Y Yes 13 3
## 252 2 Y No 22 4
## 253 1 Y No 21 4
## 254 9 Y No 23 4
## 255 0 Y No 17 3
## 256 0 Y No 21 4
## 257 1 Y Yes 16 3
## 258 8 Y No 20 4
## 259 1 Y No 19 3
## 260 1 Y No 15 3
## 261 9 Y No 12 3
## 262 6 Y Yes 13 3
## 263 1 Y No 13 3
## 264 1 Y No 22 4
## 265 7 Y No 22 4
## 266 1 Y No 16 3
## 267 6 Y No 20 4
## 268 0 Y No 17 3
## 269 0 Y No 12 3
## 270 1 Y No 24 4
## 271 0 Y No 21 4
## 272 0 Y No 11 3
## 273 7 Y No 14 3
## 274 1 Y No 14 3
## 275 4 Y Yes 11 3
## 276 8 Y No 15 3
## 277 2 Y No 12 3
## 278 8 Y No 12 3
## 279 1 Y No 15 3
## 280 1 Y No 19 3
## 281 1 Y No 11 3
## 282 3 Y No 20 4
## 283 3 Y No 12 3
## 284 1 Y Yes 11 3
## 285 1 Y No 14 3
## 286 3 Y No 18 3
## 287 6 Y Yes 19 3
## 288 4 Y Yes 22 4
## 289 1 Y No 13 3
## 290 6 Y No 20 4
## 291 1 Y Yes 11 3
## 292 4 Y Yes 14 3
## 293 1 Y No 13 3
## 294 4 Y No 17 3
## 295 1 Y Yes 14 3
## 296 1 Y No 20 4
## 297 4 Y No 20 4
## 298 0 Y No 11 3
## 299 0 Y No 12 3
## 300 1 Y Yes 12 3
## RelationshipSatisfaction StandardHours StockOptionLevel TotalWorkingYears
## 1 3 80 1 7
## 2 1 80 0 5
## 3 3 80 0 24
## 4 2 80 0 5
## 5 1 80 2 7
## 6 3 80 1 19
## 7 1 80 1 8
## 8 3 80 0 2
## 9 3 80 3 10
## 10 2 80 0 29
## 11 1 80 1 28
## 12 3 80 1 7
## 13 1 80 1 6
## 14 2 80 1 5
## 15 2 80 2 10
## 16 1 80 1 4
## 17 4 80 2 11
## 18 3 80 1 7
## 19 4 80 1 10
## 20 2 80 0 6
## 21 3 80 0 9
## 22 2 80 1 9
## 23 4 80 0 9
## 24 2 80 2 6
## 25 2 80 2 29
## 26 3 80 1 12
## 27 3 80 0 11
## 28 4 80 0 21
## 29 4 80 0 10
## 30 2 80 1 6
## 31 4 80 1 6
## 32 3 80 1 11
## 33 3 80 1 18
## 34 3 80 2 8
## 35 2 80 1 26
## 36 3 80 1 4
## 37 3 80 1 21
## 38 3 80 2 8
## 39 3 80 0 2
## 40 4 80 0 1
## 41 2 80 1 25
## 42 2 80 1 7
## 43 4 80 1 7
## 44 4 80 0 14
## 45 2 80 0 8
## 46 2 80 0 5
## 47 3 80 1 3
## 48 1 80 0 5
## 49 2 80 0 1
## 50 1 80 3 12
## 51 1 80 0 4
## 52 4 80 0 1
## 53 2 80 1 9
## 54 1 80 1 10
## 55 3 80 1 36
## 56 3 80 1 10
## 57 3 80 2 10
## 58 1 80 1 20
## 59 2 80 2 1
## 60 3 80 0 8
## 61 3 80 1 15
## 62 4 80 0 10
## 63 3 80 1 10
## 64 4 80 1 3
## 65 2 80 0 1
## 66 3 80 0 4
## 67 3 80 1 17
## 68 4 80 0 18
## 69 1 80 0 18
## 70 4 80 1 1
## 71 2 80 0 15
## 72 1 80 1 11
## 73 4 80 0 28
## 74 2 80 1 4
## 75 1 80 0 0
## 76 4 80 1 6
## 77 2 80 0 1
## 78 2 80 2 3
## 79 2 80 1 8
## 80 4 80 0 8
## 81 2 80 2 10
## 82 2 80 1 8
## 83 1 80 0 8
## 84 3 80 0 6
## 85 3 80 0 9
## 86 3 80 2 9
## 87 1 80 0 37
## 88 2 80 0 10
## 89 4 80 0 21
## 90 4 80 0 40
## 91 1 80 0 6
## 92 1 80 2 9
## 93 3 80 1 13
## 94 3 80 1 12
## 95 3 80 2 2
## 96 4 80 1 29
## 97 2 80 0 5
## 98 2 80 2 10
## 99 3 80 1 32
## 100 4 80 1 5
## 101 1 80 0 7
## 102 3 80 2 10
## 103 3 80 0 5
## 104 4 80 0 1
## 105 2 80 2 5
## 106 3 80 0 4
## 107 4 80 0 19
## 108 1 80 0 6
## 109 2 80 1 17
## 110 3 80 1 23
## 111 1 80 2 6
## 112 3 80 1 15
## 113 2 80 0 6
## 114 4 80 0 5
## 115 1 80 1 8
## 116 1 80 0 8
## 117 2 80 1 1
## 118 3 80 1 7
## 119 3 80 0 21
## 120 4 80 0 3
## 121 3 80 2 13
## 122 4 80 1 5
## 123 4 80 0 12
## 124 4 80 3 5
## 125 2 80 0 6
## 126 3 80 0 16
## 127 2 80 1 3
## 128 4 80 0 29
## 129 2 80 1 12
## 130 3 80 0 1
## 131 4 80 1 16
## 132 1 80 0 5
## 133 3 80 2 10
## 134 3 80 3 20
## 135 4 80 1 10
## 136 3 80 0 9
## 137 1 80 0 2
## 138 2 80 1 10
## 139 2 80 1 26
## 140 4 80 1 13
## 141 2 80 2 17
## 142 3 80 1 12
## 143 4 80 0 13
## 144 3 80 1 11
## 145 3 80 0 9
## 146 3 80 1 8
## 147 3 80 1 10
## 148 1 80 2 10
## 149 3 80 1 12
## 150 4 80 0 0
## 151 2 80 1 9
## 152 2 80 0 7
## 153 2 80 3 7
## 154 4 80 1 25
## 155 2 80 1 21
## 156 3 80 0 21
## 157 4 80 0 9
## 158 2 80 0 5
## 159 1 80 0 4
## 160 4 80 1 24
## 161 1 80 3 4
## 162 2 80 0 10
## 163 2 80 1 9
## 164 3 80 1 1
## 165 3 80 2 11
## 166 4 80 0 1
## 167 2 80 0 6
## 168 3 80 1 16
## 169 3 80 0 9
## 170 1 80 1 11
## 171 2 80 0 6
## 172 2 80 0 6
## 173 3 80 2 10
## 174 4 80 1 18
## 175 3 80 0 5
## 176 1 80 2 1
## 177 1 80 2 7
## 178 2 80 2 12
## 179 4 80 0 8
## 180 4 80 2 7
## 181 2 80 1 34
## 182 1 80 0 8
## 183 4 80 0 8
## 184 2 80 1 6
## 185 3 80 0 6
## 186 3 80 1 6
## 187 3 80 1 6
## 188 3 80 1 22
## 189 3 80 0 19
## 190 1 80 0 6
## 191 1 80 1 13
## 192 1 80 1 9
## 193 3 80 1 15
## 194 2 80 1 3
## 195 4 80 1 12
## 196 4 80 1 5
## 197 2 80 3 20
## 198 4 80 0 33
## 199 1 80 2 5
## 200 4 80 1 4
## 201 2 80 1 5
## 202 2 80 1 13
## 203 4 80 0 2
## 204 3 80 1 10
## 205 3 80 1 6
## 206 1 80 0 28
## 207 4 80 1 26
## 208 1 80 1 10
## 209 4 80 0 10
## 210 2 80 1 19
## 211 4 80 0 8
## 212 4 80 1 4
## 213 1 80 1 1
## 214 3 80 0 15
## 215 2 80 0 10
## 216 3 80 1 20
## 217 3 80 1 6
## 218 2 80 1 6
## 219 3 80 1 6
## 220 4 80 0 6
## 221 1 80 2 7
## 222 1 80 1 15
## 223 3 80 3 10
## 224 2 80 1 7
## 225 4 80 2 6
## 226 2 80 1 8
## 227 1 80 1 17
## 228 3 80 1 6
## 229 3 80 1 8
## 230 2 80 0 10
## 231 2 80 1 21
## 232 3 80 2 8
## 233 4 80 1 13
## 234 4 80 1 35
## 235 3 80 0 8
## 236 4 80 2 8
## 237 4 80 2 9
## 238 2 80 0 10
## 239 4 80 0 7
## 240 4 80 1 6
## 241 4 80 1 15
## 242 3 80 1 14
## 243 4 80 0 15
## 244 1 80 1 18
## 245 2 80 0 25
## 246 4 80 1 8
## 247 4 80 0 18
## 248 1 80 3 10
## 249 4 80 1 24
## 250 4 80 2 8
## 251 2 80 1 20
## 252 3 80 0 27
## 253 2 80 0 10
## 254 4 80 1 22
## 255 4 80 0 2
## 256 1 80 0 1
## 257 4 80 1 6
## 258 2 80 1 9
## 259 2 80 0 22
## 260 1 80 1 4
## 261 1 80 1 9
## 262 4 80 2 21
## 263 2 80 2 10
## 264 2 80 0 4
## 265 1 80 0 10
## 266 1 80 2 6
## 267 2 80 1 17
## 268 4 80 1 10
## 269 3 80 2 17
## 270 1 80 1 14
## 271 2 80 1 10
## 272 4 80 1 10
## 273 2 80 0 27
## 274 2 80 0 4
## 275 3 80 0 14
## 276 3 80 0 8
## 277 1 80 0 6
## 278 2 80 1 4
## 279 1 80 3 3
## 280 1 80 3 11
## 281 4 80 3 4
## 282 2 80 0 8
## 283 4 80 0 20
## 284 4 80 0 1
## 285 3 80 0 16
## 286 3 80 0 21
## 287 3 80 3 5
## 288 4 80 1 15
## 289 3 80 1 4
## 290 4 80 2 7
## 291 3 80 0 6
## 292 4 80 0 10
## 293 2 80 0 11
## 294 4 80 0 12
## 295 1 80 1 8
## 296 3 80 1 2
## 297 4 80 1 14
## 298 2 80 0 6
## 299 3 80 2 6
## 300 1 80 1 8
## TrainingTimesLastYear WorkLifeBalance YearsAtCompany YearsInCurrentRole
## 1 5 3 7 7
## 2 4 3 3 2
## 3 2 2 19 7
## 4 3 3 5 4
## 5 3 3 7 7
## 6 6 4 1 0
## 7 2 4 7 7
## 8 2 1 2 2
## 9 2 2 10 7
## 10 1 2 5 2
## 11 1 4 7 7
## 12 3 3 4 2
## 13 5 2 6 0
## 14 3 3 4 2
## 15 2 3 0 0
## 16 3 4 3 2
## 17 3 3 7 0
## 18 3 3 0 0
## 19 3 2 7 7
## 20 2 1 5 4
## 21 4 3 9 8
## 22 3 3 4 2
## 23 3 3 9 8
## 24 3 3 6 5
## 25 3 3 8 7
## 26 4 2 9 8
## 27 2 2 0 0
## 28 3 2 20 8
## 29 6 4 10 8
## 30 3 3 2 2
## 31 3 3 2 2
## 32 4 2 1 0
## 33 2 3 8 7
## 34 3 2 1 0
## 35 4 4 9 3
## 36 3 3 3 2
## 37 5 2 10 9
## 38 2 2 6 2
## 39 3 2 2 2
## 40 2 3 1 0
## 41 2 3 8 7
## 42 2 3 6 2
## 43 5 2 4 3
## 44 6 3 11 10
## 45 6 3 2 2
## 46 2 3 4 3
## 47 3 3 3 2
## 48 4 3 5 3
## 49 5 3 1 0
## 50 3 2 1 0
## 51 3 3 3 2
## 52 2 3 1 0
## 53 3 2 1 0
## 54 3 4 4 3
## 55 6 3 10 8
## 56 3 3 7 7
## 57 4 4 10 7
## 58 3 3 18 16
## 59 2 2 1 0
## 60 2 2 7 7
## 61 3 3 15 14
## 62 6 3 7 7
## 63 2 3 10 7
## 64 3 2 1 0
## 65 2 3 1 0
## 66 2 2 0 0
## 67 3 3 4 2
## 68 2 3 4 2
## 69 2 3 7 7
## 70 3 3 1 0
## 71 3 1 5 4
## 72 3 3 7 6
## 73 3 2 21 16
## 74 2 3 3 2
## 75 2 3 0 0
## 76 0 4 6 4
## 77 3 3 1 0
## 78 3 1 3 2
## 79 2 2 7 7
## 80 2 3 5 4
## 81 1 2 6 3
## 82 3 2 7 7
## 83 3 2 4 3
## 84 3 2 5 4
## 85 2 2 5 4
## 86 2 4 5 0
## 87 3 2 6 4
## 88 2 3 8 7
## 89 2 3 2 0
## 90 2 3 31 15
## 91 1 3 6 5
## 92 3 3 9 8
## 93 3 2 4 3
## 94 3 1 8 3
## 95 2 3 2 2
## 96 2 2 27 3
## 97 3 1 5 4
## 98 2 3 10 9
## 99 3 3 2 2
## 100 2 3 3 2
## 101 5 3 7 7
## 102 2 1 9 7
## 103 2 2 4 2
## 104 0 4 1 0
## 105 6 3 4 2
## 106 3 2 4 3
## 107 0 3 2 2
## 108 2 3 5 2
## 109 2 3 17 14
## 110 2 4 1 0
## 111 5 3 5 3
## 112 3 3 3 2
## 113 3 2 2 2
## 114 2 3 4 2
## 115 2 2 6 3
## 116 2 3 4 1
## 117 5 3 0 0
## 118 3 2 4 3
## 119 2 3 21 6
## 120 5 3 2 2
## 121 2 3 5 4
## 122 1 3 5 3
## 123 2 1 11 9
## 124 2 3 0 0
## 125 1 3 5 3
## 126 3 3 16 13
## 127 0 2 2 1
## 128 3 2 20 7
## 129 2 3 10 9
## 130 2 1 1 0
## 131 2 3 4 2
## 132 3 3 0 0
## 133 4 2 9 5
## 134 2 3 5 0
## 135 3 2 8 2
## 136 3 2 4 2
## 137 3 3 2 2
## 138 2 3 2 2
## 139 6 3 7 7
## 140 3 1 7 7
## 141 5 3 1 0
## 142 3 3 1 0
## 143 2 3 13 12
## 144 3 2 7 1
## 145 5 2 6 3
## 146 0 3 6 4
## 147 4 3 9 6
## 148 3 3 10 8
## 149 2 3 10 9
## 150 2 3 0 0
## 151 3 4 8 7
## 152 6 3 1 0
## 153 2 3 2 2
## 154 3 2 23 15
## 155 2 2 7 6
## 156 3 2 6 0
## 157 1 3 2 2
## 158 3 3 5 4
## 159 3 3 2 2
## 160 1 3 20 6
## 161 3 2 3 2
## 162 5 3 9 7
## 163 3 3 9 8
## 164 3 2 1 0
## 165 2 4 8 7
## 166 5 3 1 0
## 167 5 2 6 5
## 168 1 4 9 7
## 169 3 3 4 3
## 170 3 2 8 7
## 171 2 4 5 4
## 172 1 3 3 2
## 173 2 3 9 7
## 174 1 2 18 14
## 175 3 2 5 3
## 176 2 3 1 0
## 177 2 3 5 2
## 178 2 3 10 6
## 179 2 3 8 2
## 180 2 2 2 2
## 181 4 3 33 7
## 182 2 3 8 1
## 183 3 3 5 2
## 184 2 3 2 2
## 185 0 2 4 2
## 186 5 3 2 2
## 187 1 3 2 2
## 188 3 3 17 13
## 189 4 2 10 0
## 190 2 1 5 3
## 191 2 2 12 9
## 192 3 3 9 7
## 193 2 1 13 11
## 194 2 3 3 2
## 195 2 3 5 3
## 196 2 4 4 3
## 197 2 3 5 3
## 198 5 1 29 8
## 199 2 3 4 3
## 200 2 3 2 2
## 201 4 3 1 0
## 202 5 1 13 10
## 203 2 3 2 1
## 204 3 3 7 0
## 205 3 3 0 0
## 206 2 3 26 15
## 207 3 2 14 13
## 208 2 3 10 8
## 209 2 3 8 0
## 210 3 3 5 4
## 211 2 3 2 2
## 212 5 3 4 3
## 213 3 2 1 0
## 214 2 3 11 9
## 215 2 3 9 7
## 216 2 3 18 13
## 217 3 3 5 2
## 218 0 1 1 0
## 219 4 3 5 2
## 220 3 3 6 2
## 221 2 3 7 7
## 222 4 2 15 12
## 223 1 3 10 8
## 224 2 4 5 1
## 225 2 3 6 3
## 226 2 2 6 5
## 227 2 2 3 1
## 228 0 2 4 2
## 229 4 3 8 0
## 230 4 1 10 3
## 231 2 3 20 8
## 232 5 3 5 4
## 233 0 3 8 7
## 234 3 3 5 2
## 235 6 3 6 2
## 236 2 2 7 5
## 237 3 2 9 7
## 238 1 4 2 2
## 239 2 3 7 7
## 240 2 1 5 3
## 241 5 3 14 11
## 242 1 1 6 4
## 243 2 4 7 6
## 244 4 3 4 3
## 245 3 3 17 14
## 246 2 2 7 6
## 247 2 2 1 0
## 248 6 3 9 8
## 249 3 3 6 0
## 250 3 3 8 2
## 251 3 3 3 2
## 252 3 2 5 4
## 253 6 3 10 8
## 254 1 3 20 8
## 255 5 2 1 0
## 256 5 4 0 0
## 257 4 3 6 3
## 258 3 3 5 2
## 259 2 3 22 10
## 260 3 2 4 3
## 261 3 3 2 2
## 262 4 3 19 9
## 263 4 3 10 2
## 264 3 3 4 3
## 265 2 4 5 4
## 266 2 3 5 3
## 267 3 3 5 4
## 268 2 3 9 3
## 269 6 2 16 10
## 270 3 3 14 10
## 271 2 3 9 0
## 272 2 3 9 7
## 273 3 3 15 11
## 274 3 3 4 2
## 275 3 3 10 7
## 276 3 3 5 3
## 277 3 4 4 3
## 278 0 2 2 2
## 279 5 3 3 2
## 280 3 3 11 10
## 281 2 3 4 2
## 282 3 3 6 2
## 283 4 2 4 3
## 284 4 2 1 1
## 285 2 2 15 11
## 286 6 3 7 7
## 287 3 3 3 2
## 288 2 3 1 0
## 289 0 3 4 2
## 290 0 3 3 2
## 291 4 3 6 4
## 292 4 4 1 0
## 293 3 4 11 8
## 294 3 4 6 5
## 295 2 3 8 7
## 296 2 3 2 2
## 297 6 3 11 10
## 298 6 3 5 4
## 299 5 2 5 3
## 300 3 2 8 7
## YearsSinceLastPromotion YearsWithCurrManager
## 1 7 7
## 2 0 2
## 3 3 8
## 4 0 2
## 5 0 7
## 6 0 0
## 7 0 7
## 8 2 2
## 9 0 9
## 10 0 3
## 11 4 3
## 12 0 3
## 13 1 2
## 14 1 1
## 15 0 0
## 16 0 2
## 17 1 6
## 18 0 0
## 19 1 7
## 20 1 4
## 21 8 8
## 22 1 3
## 23 4 7
## 24 0 4
## 25 0 7
## 26 4 7
## 27 0 0
## 28 2 10
## 29 9 6
## 30 2 2
## 31 2 2
## 32 0 0
## 33 7 7
## 34 0 0
## 35 1 1
## 36 0 2
## 37 9 5
## 38 0 4
## 39 2 2
## 40 0 0
## 41 0 7
## 42 1 2
## 43 0 2
## 44 5 8
## 45 2 1
## 46 1 2
## 47 1 2
## 48 1 2
## 49 0 0
## 50 0 0
## 51 1 2
## 52 0 1
## 53 0 0
## 54 0 3
## 55 4 7
## 56 1 7
## 57 0 8
## 58 1 11
## 59 0 0
## 60 3 6
## 61 0 7
## 62 7 7
## 63 0 7
## 64 0 0
## 65 0 0
## 66 0 0
## 67 0 3
## 68 0 3
## 69 1 7
## 70 0 0
## 71 1 0
## 72 7 6
## 73 7 9
## 74 2 2
## 75 0 0
## 76 1 3
## 77 1 0
## 78 0 2
## 79 1 0
## 80 1 3
## 81 3 3
## 82 7 5
## 83 0 1
## 84 0 2
## 85 0 3
## 86 0 3
## 87 0 2
## 88 7 7
## 89 0 2
## 90 13 8
## 91 1 5
## 92 4 7
## 93 1 2
## 94 3 6
## 95 2 1
## 96 13 8
## 97 0 4
## 98 9 0
## 99 2 2
## 100 0 2
## 101 0 7
## 102 8 5
## 103 0 2
## 104 0 0
## 105 3 2
## 106 0 1
## 107 2 2
## 108 0 3
## 109 5 15
## 110 0 0
## 111 4 2
## 112 1 2
## 113 2 2
## 114 0 0
## 115 0 0
## 116 0 3
## 117 0 0
## 118 0 3
## 119 2 8
## 120 2 2
## 121 0 4
## 122 0 4
## 123 4 7
## 124 0 0
## 125 1 3
## 126 2 10
## 127 0 2
## 128 12 7
## 129 0 8
## 130 0 1
## 131 0 2
## 132 0 0
## 133 1 6
## 134 0 4
## 135 7 6
## 136 0 1
## 137 2 2
## 138 1 2
## 139 4 7
## 140 4 5
## 141 0 0
## 142 0 0
## 143 11 9
## 144 0 7
## 145 0 1
## 146 0 2
## 147 7 8
## 148 0 6
## 149 7 4
## 150 0 0
## 151 3 7
## 152 0 0
## 153 2 2
## 154 14 4
## 155 7 7
## 156 1 3
## 157 1 0
## 158 1 3
## 159 2 0
## 160 3 6
## 161 1 2
## 162 1 8
## 163 0 8
## 164 1 0
## 165 0 7
## 166 1 1
## 167 1 4
## 168 7 1
## 169 2 2
## 170 1 1
## 171 1 4
## 172 0 2
## 173 3 4
## 174 4 11
## 175 1 4
## 176 0 0
## 177 1 4
## 178 8 8
## 179 7 7
## 180 2 2
## 181 1 9
## 182 1 7
## 183 0 2
## 184 2 2
## 185 1 2
## 186 0 2
## 187 2 0
## 188 1 9
## 189 4 7
## 190 0 4
## 191 2 8
## 192 7 2
## 193 4 7
## 194 0 2
## 195 1 2
## 196 0 2
## 197 0 2
## 198 11 10
## 199 0 3
## 200 2 2
## 201 0 0
## 202 3 12
## 203 2 2
## 204 1 7
## 205 0 0
## 206 15 9
## 207 4 8
## 208 0 2
## 209 7 7
## 210 0 2
## 211 2 2
## 212 1 1
## 213 1 0
## 214 6 9
## 215 1 8
## 216 1 12
## 217 0 2
## 218 0 1
## 219 0 3
## 220 4 4
## 221 1 7
## 222 11 11
## 223 0 7
## 224 1 3
## 225 1 5
## 226 4 3
## 227 0 2
## 228 1 2
## 229 0 7
## 230 0 8
## 231 9 9
## 232 1 3
## 233 7 5
## 234 0 4
## 235 0 1
## 236 1 1
## 237 6 8
## 238 0 2
## 239 0 7
## 240 0 4
## 241 2 9
## 242 0 4
## 243 7 7
## 244 1 3
## 245 12 11
## 246 7 3
## 247 0 1
## 248 7 5
## 249 0 4
## 250 0 6
## 251 2 0
## 252 2 1
## 253 8 7
## 254 11 8
## 255 0 0
## 256 0 0
## 257 1 2
## 258 1 4
## 259 0 4
## 260 1 1
## 261 2 2
## 262 15 2
## 263 2 2
## 264 3 3
## 265 0 4
## 266 1 3
## 267 0 3
## 268 1 7
## 269 5 13
## 270 6 11
## 271 7 8
## 272 4 2
## 273 4 8
## 274 0 2
## 275 0 2
## 276 0 1
## 277 1 2
## 278 2 2
## 279 1 2
## 280 10 8
## 281 0 3
## 282 0 0
## 283 0 3
## 284 0 0
## 285 5 11
## 286 1 0
## 287 0 2
## 288 0 0
## 289 2 2
## 290 0 1
## 291 0 2
## 292 0 0
## 293 3 10
## 294 1 2
## 295 1 7
## 296 2 2
## 297 11 1
## 298 4 4
## 299 0 3
## 300 1 7cor(employeeClean$MonthlyIncome ,employeeClean[,c(2,5,7,8,12,14,15,16,18, 20,21,25,26,27,29,30,31,32,33,34,35,36,37)])## Age DailyRate DistanceFromHome Education EnvironmentSatisfaction
## [1,] 0.4842883 8.790339e-05 -0.006667155 0.1271314 -0.01687744
## HourlyRate JobInvolvement JobLevel JobSatisfaction MonthlyIncome
## [1,] 0.002391151 0.0004473792 0.95164 -0.05314853 1
## MonthlyRate PercentSalaryHike PerformanceRating RelationshipSatisfaction
## [1,] 0.06459407 -0.05386594 -0.043131 -0.003884678
## StockOptionLevel TotalWorkingYears TrainingTimesLastYear WorkLifeBalance
## [1,] 0.01888872 0.7785112 -0.03901457 0.02080489
## YearsAtCompany YearsInCurrentRole YearsSinceLastPromotion
## [1,] 0.491379 0.3618405 0.3159116
## YearsWithCurrManager OverTimeBinary
## [1,] 0.3284875 -0.02526885#RMSE
set.seed(7)
LMSalaryMod = lm(MonthlyIncome ~ JobLevel + Age + TotalWorkingYears + YearsAtCompany + WorkLifeBalance + YearsWithCurrManager + DistanceFromHome + DailyRate + StockOptionLevel + PerformanceRating+HourlyRate + OverTime + YearsSinceLastPromotion + RelationshipSatisfaction + YearsInCurrentRole + PercentSalaryHike + TrainingTimesLastYear + MonthlyRate + JobSatisfaction + JobInvolvement, data = employeeClean)
summary(LMSalaryMod)##
## Call:
## lm(formula = MonthlyIncome ~ JobLevel + Age + TotalWorkingYears +
## YearsAtCompany + WorkLifeBalance + YearsWithCurrManager +
## DistanceFromHome + DailyRate + StockOptionLevel + PerformanceRating +
## HourlyRate + OverTime + YearsSinceLastPromotion + RelationshipSatisfaction +
## YearsInCurrentRole + PercentSalaryHike + TrainingTimesLastYear +
## MonthlyRate + JobSatisfaction + JobInvolvement, data = employeeClean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5768.7 -848.1 22.2 719.6 4052.1
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.187e+03 6.461e+02 -1.837 0.06655 .
## JobLevel 3.734e+03 6.938e+01 53.810 < 2e-16 ***
## Age -3.876e+00 7.128e+00 -0.544 0.58672
## TotalWorkingYears 7.349e+01 1.317e+01 5.580 3.24e-08 ***
## YearsAtCompany -7.383e+00 1.690e+01 -0.437 0.66237
## WorkLifeBalance -4.782e+01 6.633e+01 -0.721 0.47111
## YearsWithCurrManager -5.020e+01 2.134e+01 -2.353 0.01886 *
## DistanceFromHome -1.609e+01 5.813e+00 -2.769 0.00575 **
## DailyRate -5.117e-02 1.178e-01 -0.434 0.66414
## StockOptionLevel 3.217e+00 5.537e+01 0.058 0.95368
## PerformanceRating -3.230e+02 2.076e+02 -1.556 0.12017
## HourlyRate 1.696e+00 2.359e+00 0.719 0.47234
## OverTimeYes 7.882e+00 1.038e+02 0.076 0.93949
## YearsSinceLastPromotion 3.381e+00 1.953e+01 0.173 0.86263
## RelationshipSatisfaction 1.245e+01 4.271e+01 0.292 0.77070
## YearsInCurrentRole -7.878e+00 2.174e+01 -0.362 0.71717
## PercentSalaryHike 3.482e+01 2.034e+01 1.711 0.08736 .
## TrainingTimesLastYear 2.003e+01 3.715e+01 0.539 0.58998
## MonthlyRate -5.434e-03 6.655e-03 -0.817 0.41441
## JobSatisfaction -6.510e+00 4.258e+01 -0.153 0.87853
## JobInvolvement 1.037e+02 6.736e+01 1.540 0.12388
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1379 on 849 degrees of freedom
## Multiple R-squared: 0.9121, Adjusted R-squared: 0.9101
## F-statistic: 440.7 on 20 and 849 DF, p-value: < 2.2e-16rss = c(crossprod(LMSalaryMod$residuals))
mse = rss / length(LMSalaryMod$residuals)
rmse = sqrt(mse)
sig2 = rss / LMSalaryMod$df.residual
rmse## [1] 1362.027#Predicted Salary to include in file
SalaryPredict = predict(LMSalaryMod, newdata = employeeSalaryClean)
SalaryPredict## 1 2 3 4 5 6 7 8
## 5826.610 2303.216 14589.857 2270.876 1701.300 7241.609 5612.776 1874.902
## 9 10 11 12 13 14 15 16
## 1842.756 14966.752 11030.029 2519.027 6275.437 6214.154 6735.748 6150.478
## 17 18 19 20 21 22 23 24
## 5845.590 6337.404 6100.131 2492.957 6010.540 9484.753 9621.037 5990.441
## 25 26 27 28 29 30 31 32
## 11010.625 10040.771 10195.314 14080.101 5924.457 2493.195 2390.403 6724.036
## 33 34 35 36 37 38 39 40
## 6528.015 3032.869 14915.608 6001.979 10752.997 6161.324 2116.086 2202.938
## 41 42 43 44 45 46 47 48
## 18172.964 2432.320 2702.600 9938.464 6250.441 5821.792 2330.082 5945.411
## 49 50 51 52 53 54 55 56
## 2036.885 2966.814 2197.968 2297.539 6416.872 6552.273 15265.163 2250.636
## 57 58 59 60 61 62 63 64
## 6107.025 9972.113 2191.682 2349.056 6302.839 9915.492 9970.717 2211.897
## 65 66 67 68 69 70 71 72
## 2454.732 2350.129 10787.132 10285.981 6341.811 2468.537 3136.967 9903.953
## 73 74 75 76 77 78 79 80
## 10545.833 6173.775 1884.334 6156.535 2155.905 2027.726 2295.431 5871.896
## 81 82 83 84 85 86 87 88
## 2483.553 5765.592 6379.151 2362.669 6308.380 9714.901 11589.075 1910.552
## 89 90 91 92 93 94 95 96
## 10757.848 19058.021 2113.657 5682.296 6533.133 6562.299 1842.754 18298.646
## 97 98 99 100 101 102 103 104
## 1892.104 10136.501 15411.322 2081.913 5857.718 6042.942 2336.032 2083.511
## 105 106 107 108 109 110 111 112
## 5771.485 2028.560 6926.677 1979.243 9488.912 18492.518 1878.195 10520.018
## 113 114 115 116 117 118 119 120
## 2418.989 2354.571 6142.955 2557.089 2068.837 6100.061 10247.910 2184.135
## 121 122 123 124 125 126 127 128
## 6276.896 2307.619 6380.535 6069.782 5911.523 6243.643 2157.719 15142.624
## 129 130 131 132 133 134 135 136
## 9932.743 1932.912 6811.899 6275.361 6152.920 7030.077 2236.372 6305.912
## 137 138 139 140 141 142 143 144
## 2295.179 6099.601 18503.998 6255.406 10600.052 6573.293 5886.679 6445.606
## 145 146 147 148 149 150 151 152
## 6031.126 2170.054 2232.600 9939.551 10005.422 2217.014 6153.979 6421.713
## 153 154 155 156 157 158 159 160
## 5947.150 10976.930 14241.646 18366.309 6341.135 5872.149 6088.371 10825.154
## 161 162 163 164 165 166 167 168
## 5983.375 2437.866 9690.513 2230.655 5899.220 1885.337 5633.190 10339.536
## 169 170 171 172 173 174 175 176
## 9904.198 6040.697 1658.331 2319.689 10124.870 6486.530 2117.113 2137.062
## 177 178 179 180 181 182 183 184
## 6042.279 9801.944 2023.329 5838.997 11283.622 2017.620 6242.082 2510.361
## 185 186 187 188 189 190 191 192
## 2502.000 2565.091 6412.265 14028.492 6814.057 2338.680 6465.490 6212.421
## 193 194 195 196 197 198 199 200
## 6419.863 2093.522 6230.537 2257.328 3446.406 18666.710 5916.643 2216.090
## 201 202 203 204 205 206 207 208
## 2561.805 6075.067 2132.059 6215.446 6039.915 14520.182 18209.459 5987.560
## 209 210 211 212 213 214 215 216
## 6015.991 6587.112 2481.654 2166.845 2236.285 6297.827 9275.803 9921.386
## 217 218 219 220 221 222 223 224
## 6230.197 2545.048 2358.466 5895.071 5696.956 5979.830 9666.161 5880.774
## 225 226 227 228 229 230 231 232
## 6048.001 6209.454 3172.598 2168.906 2378.218 6179.115 17899.639 6129.307
## 233 234 235 236 237 238 239 240
## 6354.505 11816.907 2703.066 2521.481 2163.496 6034.841 5685.280 5971.178
## 241 242 243 244 245 246 247 248
## 6244.211 10341.728 9862.897 6778.977 10272.006 2396.657 6891.714 5952.797
## 249 250 251 252 253 254 255 256
## 10830.104 2357.852 10400.247 15189.236 5948.059 14140.088 2270.973 2012.773
## 257 258 259 260 261 262 263 264
## 2444.661 5906.356 14688.993 2268.081 10037.771 14392.375 6448.134 2011.578
## 265 266 267 268 269 270 271 272
## 2344.399 2397.111 2949.420 6315.664 10114.068 13342.899 5581.050 6107.859
## 273 274 275 276 277 278 279 280
## 10752.030 5977.006 6528.913 5998.853 6087.245 2302.515 2403.273 6292.124
## 281 282 283 284 285 286 287 288
## 2125.828 6016.289 6703.135 1977.768 6125.026 15022.313 2435.363 6928.530
## 289 290 291 292 293 294 295 296
## 2108.994 6201.815 2215.264 10379.660 1947.508 10311.687 2107.849 1856.947
## 297 298 299 300
## 9994.818 5842.411 2304.075 2006.681#Wrote Predicted Salary to file
employeeSalaryClean$PredictedSalary = unlist(SalaryPredict)
PredictionSalaryDF = data.frame(c(employeeSalaryClean$ï..ID), c(employeeSalaryClean$PredictedSalary))
SalaryPrediction = unlist(SalaryPredict)
employeeSalary$SalaryPrediction = SalaryPrediction
employeeSalary$SalaryPrediction## [1] 5826.610 2303.216 14589.857 2270.876 1701.300 7241.609 5612.776
## [8] 1874.902 1842.756 14966.752 11030.029 2519.027 6275.437 6214.154
## [15] 6735.748 6150.478 5845.590 6337.404 6100.131 2492.957 6010.540
## [22] 9484.753 9621.037 5990.441 11010.625 10040.771 10195.314 14080.101
## [29] 5924.457 2493.195 2390.403 6724.036 6528.015 3032.869 14915.608
## [36] 6001.979 10752.997 6161.324 2116.086 2202.938 18172.964 2432.320
## [43] 2702.600 9938.464 6250.441 5821.792 2330.082 5945.411 2036.885
## [50] 2966.814 2197.968 2297.539 6416.872 6552.273 15265.163 2250.636
## [57] 6107.025 9972.113 2191.682 2349.056 6302.839 9915.492 9970.717
## [64] 2211.897 2454.732 2350.129 10787.132 10285.981 6341.811 2468.537
## [71] 3136.967 9903.953 10545.833 6173.775 1884.334 6156.535 2155.905
## [78] 2027.726 2295.431 5871.896 2483.553 5765.592 6379.151 2362.669
## [85] 6308.380 9714.901 11589.075 1910.552 10757.848 19058.021 2113.657
## [92] 5682.296 6533.133 6562.299 1842.754 18298.646 1892.104 10136.501
## [99] 15411.322 2081.913 5857.718 6042.942 2336.032 2083.511 5771.485
## [106] 2028.560 6926.677 1979.243 9488.912 18492.518 1878.195 10520.018
## [113] 2418.989 2354.571 6142.955 2557.089 2068.837 6100.061 10247.910
## [120] 2184.135 6276.896 2307.619 6380.535 6069.782 5911.523 6243.643
## [127] 2157.719 15142.624 9932.743 1932.912 6811.899 6275.361 6152.920
## [134] 7030.077 2236.372 6305.912 2295.179 6099.601 18503.998 6255.406
## [141] 10600.052 6573.293 5886.679 6445.606 6031.126 2170.054 2232.600
## [148] 9939.551 10005.422 2217.014 6153.979 6421.713 5947.150 10976.930
## [155] 14241.646 18366.309 6341.135 5872.149 6088.371 10825.154 5983.375
## [162] 2437.866 9690.513 2230.655 5899.220 1885.337 5633.190 10339.536
## [169] 9904.198 6040.697 1658.331 2319.689 10124.870 6486.530 2117.113
## [176] 2137.062 6042.279 9801.944 2023.329 5838.997 11283.622 2017.620
## [183] 6242.082 2510.361 2502.000 2565.091 6412.265 14028.492 6814.057
## [190] 2338.680 6465.490 6212.421 6419.863 2093.522 6230.537 2257.328
## [197] 3446.406 18666.710 5916.643 2216.090 2561.805 6075.067 2132.059
## [204] 6215.446 6039.915 14520.182 18209.459 5987.560 6015.991 6587.112
## [211] 2481.654 2166.845 2236.285 6297.827 9275.803 9921.386 6230.197
## [218] 2545.048 2358.466 5895.071 5696.956 5979.830 9666.161 5880.774
## [225] 6048.001 6209.454 3172.598 2168.906 2378.218 6179.115 17899.639
## [232] 6129.307 6354.505 11816.907 2703.066 2521.481 2163.496 6034.841
## [239] 5685.280 5971.178 6244.211 10341.728 9862.897 6778.977 10272.006
## [246] 2396.657 6891.714 5952.797 10830.104 2357.852 10400.247 15189.236
## [253] 5948.059 14140.088 2270.973 2012.773 2444.661 5906.356 14688.993
## [260] 2268.081 10037.771 14392.375 6448.134 2011.578 2344.399 2397.111
## [267] 2949.420 6315.664 10114.068 13342.899 5581.050 6107.859 10752.030
## [274] 5977.006 6528.913 5998.853 6087.245 2302.515 2403.273 6292.124
## [281] 2125.828 6016.289 6703.135 1977.768 6125.026 15022.313 2435.363
## [288] 6928.530 2108.994 6201.815 2215.264 10379.660 1947.508 10311.687
## [295] 2107.849 1856.947 9994.818 5842.411 2304.075 2006.681head(employeeSalary)## ï..ID Age Attrition BusinessTravel DailyRate Department
## 1 871 43 No Travel_Frequently 1422 Sales
## 2 872 33 No Travel_Rarely 461 Research & Development
## 3 873 55 Yes Travel_Rarely 267 Sales
## 4 874 36 No Non-Travel 1351 Research & Development
## 5 875 27 No Travel_Rarely 1302 Research & Development
## 6 876 39 Yes Travel_Rarely 895 Sales
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## 1 2 4 Life Sciences 1 1849
## 2 13 1 Life Sciences 1 995
## 3 13 4 Marketing 1 1372
## 4 9 4 Life Sciences 1 1949
## 5 19 3 Other 1 1619
## 6 5 3 Technical Degree 1 42
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## 1 1 Male 92 3 2
## 2 2 Female 53 3 1
## 3 1 Male 85 4 4
## 4 1 Male 66 4 1
## 5 4 Male 67 2 1
## 6 4 Male 56 3 2
## JobRole JobSatisfaction MaritalStatus MonthlyRate
## 1 Sales Executive 4 Married 19246
## 2 Research Scientist 4 Single 17241
## 3 Sales Executive 3 Single 9277
## 4 Laboratory Technician 2 Married 9238
## 5 Laboratory Technician 1 Divorced 16290
## 6 Sales Representative 4 Married 3335
## NumCompaniesWorked Over18 OverTime PercentSalaryHike PerformanceRating
## 1 1 Y No 20 4
## 2 3 Y No 18 3
## 3 6 Y Yes 17 3
## 4 1 Y No 22 4
## 5 1 Y No 11 3
## 6 3 Y No 14 3
## RelationshipSatisfaction StandardHours StockOptionLevel TotalWorkingYears
## 1 3 80 1 7
## 2 1 80 0 5
## 3 3 80 0 24
## 4 2 80 0 5
## 5 1 80 2 7
## 6 3 80 1 19
## TrainingTimesLastYear WorkLifeBalance YearsAtCompany YearsInCurrentRole
## 1 5 3 7 7
## 2 4 3 3 2
## 3 2 2 19 7
## 4 3 3 5 4
## 5 3 3 7 7
## 6 6 4 1 0
## YearsSinceLastPromotion YearsWithCurrManager SalaryPrediction
## 1 7 7 5826.610
## 2 0 2 2303.216
## 3 3 8 14589.857
## 4 0 2 2270.876
## 5 0 7 1701.300
## 6 0 0 7241.609write.csv(PredictionSalaryDF, "SalaryPrediction.csv", row.names = TRUE)#Predicted Attrition and wrote to file
employeeNoAttri = read.csv(file.choose(), header = TRUE)
classifier1 = naiveBayes(model[,-c(1,5,9,10,11,14,21,23,24,28, 37:45)],model$Attrition)
attrition_pred = predict(classifier1, employeeClean)
employeeClean$PredictAttrition = unlist(attrition_pred)
PredictionsAttritionDF = data.frame(c(employeeClean$ID), c(employeeClean$PredictAttrition))
write.csv(PredictionsAttritionDF, "AttritionPrediction.csv", row.names = TRUE)